Published Papers

• Refereed, 25 Oct. 2024, 65, 10, 674, 679, Scientific journal, 10.11419/senshoshi.65.10_674

  DOI URL
• Refereed, RO-MAN, IEEE, Two is better than one: descriptions by multiple robots strengthen the feeling of kawaii toward objects., Yuki Kimura; Emi Anzai; Naoki Saiwaki; Masahiro Shiomi, 2024, 485, 490, International conference proceedings, 10.1109/RO-MAN60168.2024.10731280

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• Refereed, RO-MAN, IEEE, The Feeling of Kawaii toward a Robot's Head-Tilting Motion: Effects of Speed, Direction, and Accompanying Hand Gestures., Masahiro Shiomi; Yuina Kato; Hiroshi Nittono; Emi Anzai; Naoki Saiwaki, 2024, 69, 74, International conference proceedings, 10.1109/RO-MAN60168.2024.10731446

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• Refereed, MODERN RHEUMATOLOGY, OXFORD UNIV PRESS, Effect of gait protocols and postoperative shoes on off-loading of forefoot in preoperative patients for forefoot disorders, Taro Kasai; Marina Tsuji; Ryutaro Takeda; Song Ho Chang; Emi Anzai; Kanako Nakajima; Sakae Tanaka; Yuji Ohta; Takumi Matsumoto, OBJECTIVES: The purpose of this study was to clarify the effect of gait protocols and postoperative shoes on forefoot load in preoperative patients for forefoot disorders and compare footwear comfort between different types of postoperative shoes. METHODS: Fourteen subjects scheduled to undergo forefoot surgeries were recruited. The maximum force under the forefoot region was measured during 10 m straight walking in two gait patterns with six different shoe types. Visual analogue scale (VAS) scores for footwear comfort, subjective lower thigh pain, and electrical activities of lower thigh muscles were also evaluated. RESULTS: The body weight-normalized maximum force under the forefoot region significantly decreased in step-to gait compared to normal gait regardless of the shoe types used. Under the same gait condition, no significant difference was observed in the forefoot off-loading effect between the different shoe types used. Significantly worse VAS scores, significantly higher tibialis anterior muscle activities, and complaints of lower thigh pain were demonstrated in the gait with the reverse camber shoe. CONCLUSIONS: Gait protocol of step-to gait had more forefoot off-loading effect than postoperative shoes. The forefoot off-loading effect did not differ among the postoperative shoes, suggesting that postoperative shoes can be selected with an emphasis on footwear comfort., Oct. 2022, 32, 6, 1186, 1192, Scientific journal, True, 10.1093/mr/roab093

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• Refereed, BMC geriatrics, Random forest algorithms to classify frailty and falling history in seniors using plantar pressure measurement insoles: a large-scale feasibility study., Emi Anzai; Dian Ren; Leo Cazenille; Nathanael Aubert-Kato; Julien Tripette; Yuji Ohta, BACKGROUND: Frailty and falls are two adverse characteristics of aging that impair the quality of life of senior people and increase the burden on the healthcare system. Various methods exist to evaluate frailty, but none of them are considered the gold standard. Technological methods have also been proposed to assess the risk of falling in seniors. This study aims to propose an objective method for complementing existing methods used to identify the frail state and risk of falling in older adults. METHOD: A total of 712 subjects (age: 71.3 ± 8.2 years, including 505 women and 207 men) were recruited from two Japanese cities. Two hundred and three people were classified as frail according to the Kihon Checklist. One hundred and forty-two people presented with a history of falling during the previous 12 months. The subjects performed a 45 s standing balance test and a 20 m round walking trial. The plantar pressure data were collected using a 7-sensor insole. One hundred and eighty-four data features were extracted. Automatic learning random forest algorithms were used to build the frailty and faller classifiers. The discrimination capabilities of the features in the classification models were explored. RESULTS: The overall balanced accuracy for the recognition of frail subjects was 0.75 ± 0.04 (F1-score: 0.77 ± 0.03). One sub-analysis using data collected for men aged > 65 years only revealed accuracies as high as 0.78 ± 0.07 (F1-score: 0.79 ± 0.05). The overall balanced accuracy for classifying subjects with a recent history of falling was 0.57 ± 0.05 (F1-score: 0.62 ± 0.04). The classification of subjects relative to their frailty state primarily relied on features extracted from the plantar pressure series collected during the walking test. CONCLUSION: In the future, plantar pressures measured with smart insoles inserted in the shoes of senior people may be used to evaluate aspects of frailty related to the physical dimension (e.g., gait and balance alterations), thus allowing assisting clinicians in the early identification of frail individuals., 12 Sep. 2022, 22, 1, 746, 746, Scientific journal, True, 10.1186/s12877-022-03425-5

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• Not Refereed, 2022, 66, 8, 328, 335
• Refereed, HRI, Does Encouraging Self-touching Behaviors with Supportive Voices Increase Stress-buffering Effects?, Ayumi Hayashi; Emi Anzai; Naoki Saiwaki; Hidenobu Sumioka; Masahiro Shiomi, 2022, 787, 791, International conference proceedings

  URL
• Not Refereed, 2022, 46, 1, 33, 39
• Refereed, Journal of biomechanics, A 'Giving way' captured during walking by gyroscopes and plantar force sensors., Ryutaro Takeda; Kanako Nakajima; Emi Anzai; Sakae Tanaka; Yuji Ohta; Takumi Matsumoto, ‘Giving way’ is a rapid inversion of the rear part of the foot, which does not result in an acute lateral ankle sprain. It is a specific event for patients with chronic ankle instability (CAI). This report described a ‘giving way’ in an 18-year-old female with CAI, which was biomechanically captured during walking on the flat surface. Shoes with unstable heel having a hemisphere rubber on the sole of the heel were used to provoke ‘giving way’. To the authors’ knowledge, this is the first report describing the kinetics of ‘giving way’ during walking. The event of ‘giving way’ was captured by an Inertial Motor Unit located on the dorsum of the foot and an insole-shaped plantar force measurement device. ‘Giving way’ provided distinctive data on both kinds of devices. Gyroscope data showed a rapid increase of inversion/plantarflexion/internal rotation (maximum levels: 204/280/346 degree/s) and following eversion/dorsiflexion/external rotation (maximum levels: 509/798/797 degree/s) of the foot segment at 350 ms − 492 ms after the heel strike. Plantar force data demonstrated the rapid decrease and subsequent recovery of the regional force on the head of 1st metatarsal head, suggesting a rapid inversion followed by the foot's defensive eversion. Although the maximum angular velocity of the inversion was smaller and the duration of inversion phase of ‘giving way’ was shorter than in previous reports, the characteristics of the following eversion phase of ‘giving way’ were consistent with earlier reports. The eversion must be a more specific phase than the inversion in the kinematics of ‘giving way’., 02 Dec. 2021, 129, 110754, 110754, Scientific journal, True, 10.1016/j.jbiomech.2021.110754

  DOI URLScopus URLScopus Citedby URL
• Refereed, Nov. 2021, 45, 4, 251, 258

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• Refereed, ヒューマンインタフェース学会論文誌(CD-ROM), Development and Validation of Novel Support Sensor Using Printed Electronics, 安在絵美; 川治和奏; 藤本和賀代; 本田麻由美; 才脇直樹; 才脇直樹, Nov. 2020, 22, 4, 467, 474, Scientific journal
• Refereed, LifeTech 2020 - 2020 IEEE 2nd Global Conference on Life Sciences and Technologies, Comparative study between a novel 7-sensor plantar pressure measurement insole and the F-scan device, Emi Anzai; Julien Tripette; Kanako Nakajima; Yuji Ohta, © 2020 IEEE. A new insole device sensing the plantar pressure at seven points was developed. This study aims at testing the validity of the centers of pressure computed from these seven points for a 10-m walking test involving 13 healthy participants. Strong correlations with the standard F-scan method were observed for the computation of instantaneous center of pressure (r equal to or greater than 0.77 and 0.96, respectively, for the variations in anterior-posterior and medial-lateral directions; p < 0.001). The new 7-sensor device may provide a low-cost, portable, and easy-to-use alternative for the objective evaluation of gait stability., Mar. 2020, 339, 342, International conference proceedings, 10.1109/LifeTech48969.2020.1570618681

  DOI URLScopus URLScopus Citedby URL
• Refereed, PeerJ, Random forest algorithms for recognizing daily life activities using plantar pressure information: a smart-shoe study., Dian Ren; Nathanael Aubert-Kato; Emi Anzai; Yuji Ohta; Julien Tripette, Background: Wearable activity trackers are regarded as a new opportunity to deliver health promotion interventions. Indeed, while the prediction of active behaviors is currently primarily relying on the processing of accelerometer sensor data, the emergence of smart clothes with multi-sensing capacities is offering new possibilities. Algorithms able to process data from a variety of smart devices and classify daily life activities could therefore be of particular importance to achieve a more accurate evaluation of physical behaviors. This study aims to (1) develop an activity recognition algorithm based on the processing of plantar pressure information provided by a smart-shoe prototype and (2) to determine the optimal hardware and software configurations. Method: Seventeen subjects wore a pair of smart-shoe prototypes composed of plantar pressure measurement insoles, and they performed the following nine activities: sitting, standing, walking on a flat surface, walking upstairs, walking downstairs, walking up a slope, running, cycling, and completing office work. The insole featured seven pressure sensors. For each activity, at least four minutes of plantar pressure data were collected. The plantar pressure data were cut in overlapping windows of different lengths and 167 features were extracted for each window. Data were split into training and test samples using a subject-wise assignment method. A random forest model was trained to recognize activity. The resulting activity recognition algorithms were evaluated on the test sample. A multi hold-out procedure allowed repeating the operation with 5 different assignments. The analytic conditions were modulated to test (1) different window lengths (1-60 seconds), (2) some selected sensor configurations and (3) different numbers of data features. Results: A window length of 20 s was found to be optimum and therefore used for the rest of the analysis. Using all the sensors and all 167 features, the smart shoes predicted the activities with an average success of 89%. "Running" demonstrated the highest sensitivity (100%). "Walking up a slope" was linked with the lowest performance (63%), with the majority of the false negatives being "walking on a flat surface" and "walking upstairs." Some 2- and 3-sensor configurations were linked with an average success rate of 87%. Reducing the number of features down to 20 does not alter significantly the performance of the algorithm. Conclusion: High-performance human behavior recognition using plantar pressure data only is possible. In the future, smart-shoe devices could contribute to the evaluation of daily physical activities. Minimalist configurations integrating only a small number of sensors and computing a reduced number of selected features could maintain a satisfying performance. Future experiments must include a more heterogeneous population., 2020, 8, e10170, Scientific journal, True, 10.7717/peerj.10170

  DOI URL
• Not Refereed, Development of a human activity recognition algorithm using plantar pressure measurements: a smart-insole study, Ren Dian, Aubert-Kato Nathanael, Anzai Emi, Ohta Yuji, Tripette Julien, 2020, International conference proceedings, True
• Refereed, The Transactions of Human Interface Society, Human Interface Society, Development of Sensor Integrated Ware Capable of Respiration Measurement using Printed Electronics, Fujimoto W.; Kawaji W.; Honda M.; Anzai E.; Yamauchi M.; Saiwaki N.,

  Recently, wearable systems that can routinely acquire and manage biological information such as heart beat, pulse, brain waves, blood pressure and the like more easily without going to a hospital has attracted attention. However, their acquired data are less accurate and less reliable than those of medical devices. On the one hand, it takes time and effort to measure when high accuracy is required, and stresses such as sense of incongruity and sense of restraint is also large. Therefore, in this research, we have tried to develop the sensor integrated ware which can measure respiration all the time more easily and comfortably using printed electronics. Furthermore, the sensor integrated ware can accurately capture the data by printing the sensors at the positions where breathing motion.

  , 2020, 22, 2, 165, 174, Scientific journal, True, 10.11184/his.22.2_165

  DOI URL
• Refereed, International Journal of Industrial Ergonomics, ELSEVIER SCIENCE BV, Effect of safety boots with toe spring on foot clearance features during walking, Yoshiyuki Kobayashi; Satoru Hashizume; Hiroaki Hobara; Emi Anzai; Kanako Nakajima; Koji Mishima; Kazuma Morizono; Aiichiro Sato; Masaaki Mochimaru, © 2019 Elsevier B.V. Tripping is a primary cause of occupational injury falls, especially among aging workers. This study investigated changes in foot clearance features during the normal walking swing phase affected by adding a toe spring height to safety boots. Gait data were obtained from nine male participants wearing experimental and control shoes via a motion capture system. A principal component analysis was conducted on three-dimensional foot segment trajectories and angles, and plantar surface motions were compared between conditions. Statistical analysis revealed significant principal component score differences between conditions in principal component vectors 1, 3, 5, 6, 8, and 9. The related swing phase three-dimensional plantar surface motion patterns were reconstructed. The results revealed two characteristics of the shoe-plantar surface three-dimensional motion of experimental shoes: higher foot clearance and a relatively straighter forward leg path. It was thus concluded that utilizing safety boots with toe springs may reduce falls in older workers due to occupational trips in industries., May 2019, 71, 32, 36, Scientific journal, True, 10.1016/j.ergon.2019.02.009

  DOI URLScopus URLScopus Citedby URL
• Refereed, International Journal of Computer Assisted Radiology and Surgery, SPRINGER HEIDELBERG, Development of intraoperative plantar pressure measuring system considering weight bearing axis, Izumu Hosoi; Etsuko Kobayashi; Song Ho Chang; Takumi Matsumoto; Qi An; Emi Anzai; Yuji Ohta; Ichiro Sakuma, © 2018, CARS. Purpose: Surgical reconstructions in three dimensions are needed for treatment of foot and ankle deformities. However, surgical results might be influenced by the skill and experience of doctors which complement the limited information for reconstructions in three dimensions. To solve these, studies were carried out to measure plantar pressure distribution during surgery. Though, it was impossible to accurately measure plantar pressure distribution accurately during operation. Therefore, we proposed an intraoperative plantar pressure measurement (IPPM) device that enables proper navigation in the push direction. Methods: For this purpose, first, we investigated how the physiological load axis passes through the human body to identify the pushing direction of the pressure sensor of the device toward the patient’s foot. In particular, we hypothesized that the physiological load axis passes through the femoral head center and we evaluated this in a measurement experiment with nine healthy subjects. Second, based on these results, we developed the IPPM device that has two force sensors to identify the pushing direction toward the femoral head center and a conductive ink sensor to measure plantar pressure distribution. Finally, we conducted the experiments with nine healthy subjects and two users. Results: From the first experimental results, the physiological load axis was found to pass through the femoral head center in normal standing posture. From the evaluation experiment, there are no significant differences statistically in plantar pressure distributions between the conditions of using IPPM device and without using it for both a medical student and a surgeon. However, in some cases the plantar pressure distribution can be reproduced similarly to that of the standing posture, and also from the evaluation experiment concerning the relation between CoP position and NCC, the NCC tends to increase when the position of the CoP is closer to that at the standing posture. Conclusion: The IPPM device has possibility to reproduce the plantar pressure distribution during surgery and prevent the recurrence of surgical complications., 01 Feb. 2019, 14, 2, 385, 395, Scientific journal, True, 10.1007/s11548-018-1862-z

  DOI URLScopus URLScopus Citedby URL
• Refereed, ADVANCED BIOMEDICAL ENGINEERING, JAPANESE SOC MEDICAL & BIOLOGICAL ENGINEERING, Reduction in Fall Risk and Medical Cost with Foot Care in the Elderly, Kazuhiko Yamashita; Emi Anzai; Tomoko Yamashita; Yuji Ohta; Mitsuru Sato; Shuichi Ino; Kenji Yamada; Yuko Ohno, Objectives: Foot problems are common in the elderly and are associated with impaired lower limb muscle strength, reduced balance function, and foot pain. We investigated the effect of foot care on these parameters as well as on medical costs in 32 community-dwelling elderlies (mean age 75.3 +/- 6.1 years). They were divided into two groups based on pre-intervention fall risk assessed by lower limb muscle strength. In this study, we examined the impact of foot care intervention on medical costs by conducting an analysis on the medical costs of the subjects who had been compensated by the National Health Insurance or by the medical care system for those aged over 75 years.Measurements: Lower limb muscle strength was evaluated by measuring toe-gap force and knee-gap force. Balance capability was evaluated by the trajectory of the length and area of center of pressure (COP) and pressure ratio of toe contact with the ground. Medical costs were compared before and after intervention.Results: Significant increases in toe-gap force and knee-gap force were observed after foot care intervention. Post-intervention toe-gap force and knee-gap force were significantly lower in the foot pain group than in the foot pain-free group. The toe-gap force and knee-gap force in both groups improved significantly after foot care intervention. The subjects who had pain in their feet were significantly more likely to belong to the higher fall risk group. There was a reduction in medical costs for the group of the over-75 group.Conclusion: In community-dwelling elderly, foot care improves lower limb muscle strength and balance, which are associated with falls, and reduces medical costs., 2017, 6, 83, 87, Scientific journal, True, 10.14326/abe.6.83

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• Refereed, IEEJ Transactions on Electronics, Information and Systems, The Institute of Electrical Engineers of Japan, Proposal and verification of a foot arch classification technique using foot pressure distribution images, Yumi Iwakami; Emi Anzai; Kanako Nakajima; Kazuya Imaizumi; Kazuhiko Yamashita; Makoto Okabe; Rikio Onai, © 2015 The Institute of Electrical Engineers of Japan. The shape of our feet is important for our good health. If the feet are an abnormal shape, such as 'high arch' and 'flat foot', it may adversely affect the performance of walking and maintaining the posture, and damage our health. Therefore, we want to develop a system that allows even non-expert users to measure the shape of their feet and make a diagnosis. Our system takes the image of pressure distribution of feet as an input, and classifies it into four categories: 'normal', 'high arch', 'flat foot', and 'suspected of an abnormal shape'. We build our classifier using the Adaboost algorithm and decision tree algorithm. Our training data consists of 200 images of pressure distribution of feet that are labeled by the experts in advance. We use the pressure and area information obtained from each input image as the image features. We conduct the verification based on the cross validation on our training data. The resulting accuracy that our classifier achieves is 95.5%. The recalls of the four categories of 'high arch', 'normal', 'flat foot', and 'suspected of an abnormal shape' are 100%, 94.2%, 96.3%, and 95.8%, which are best performance compared with the previous methods., 01 May 2015, 135, 5, 505, 512, Scientific journal, True, 10.1541/ieejeiss.135.505

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• Refereed, 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014, IEEE, Relationship between foot arch structure and postural stability - Measurements in over 100 older people for health monitoring, Emi Anzai; Kanako Nakajima; Yumi Iwakami; Mitsuru Sato; Shuichi Ino; Kazuhiko Yamashita; Yuji Ohta, The aim of this study was to investigate the relationship between the structure of the foot arch and postural control in the elderly. Ratio of midfoot pressure (RMP) and CoP was measured in 87 healthy elderly and 56 frail elderly using the Shoe Type Stabilometer we developed. As a result, a significant correlation was recognized between the RMP which correlate foot arch and CoP sway in the healthy elderly. Therefore, foot arch structure contributed to postural control. © 2014 IEEE., 2014, 388, 391, International conference proceedings, 10.1109/BHI.2014.6864384

  DOI URLScopus URLScopus Citedby URL
• Refereed, Clinical Research on Foot & Ankle, Effects of Foot Arch Structure on Postural Stability, Emi Anzai, Kanako Nakajima, Yumi Iwakami, Mitsuru Sato, Shuichi Ino, Toru Ifukube, Kazuhiko Yamashita, Yuji Ohta, 2014, 2, 2, 132, Scientific journal, True
• Refereed, Technology and Health Care, IOS PRESS, Measuring gait pattern in elderly individuals by using a plantar pressure measurement device, Kanako Nakajima; Emi Anzai; Yumi Iwakami; Shuichi Ino; Kazuhiko Yamashita; Yuji Ohta, © 2014 - IOS Press and the authors. BACKGROUND: Hip fracture in the elderly is a serious problem, and solutions to prevent falls are needed. OBJECTIVE: This study focused on elucidating data critical to fall prevention by evaluating ambulatory function, and we achieved this by developing a plantar pressure measurement device to determine gait function. METHODS: Our device enables measurement of gait function in the unrestrained state by transmitting wireless data. In this study, we applied the device to field experiments involving 98 subjects (39 healthy individuals, 44 elderly non-fallers, and 15 elderly fallers). Gait features were determined by measuring the pressure values and foot contact patterns used as gait function parameters in previous studies. RESULTS: In particular, decreased peak pressure values were noted at heel strike and toe off during walking in elderly fallers compared with elderly non-fallers. In addition, compared with healthy subjects, elderly fallers also showed extension of the double support phase, and differences in individual gait pattern features were observed between the groups. CONCLUSIONS: Experiments confirmed that our device can be used to obtain the gait features of a diverse group of elderly individuals. Moreover, our device enables objective and quantitative evaluation of gait function and thus may be useful for evaluating gait function in the elderly., 2014, 22, 6, 805, 815, Scientific journal, True, 10.3233/THC-140856

  DOI URLScopus URLScopus Citedby URL
• Refereed, Basic Evaluation of Fall Risk by Bone Density and Lower Limb Muscle Strength on Osteoporosis Examination, Feb. 2013, 51, 1, 1, 8
• Refereed, Development of Measurement Devices for Quantitative Evaluation of Lower Limb Muscle Strength on Children, Feb. 2012, 50, 1, 1, 10

MISC

• 情報処理学会研究報告(Web), Proposal for a ”scarecrow robot” to assist in gaining multiple perspectives., 松井瑚子; 高橋英之; 高橋英之; 大道麻由; 伴碧; 安在絵美; 石黒浩; 石黒浩; 才脇直樹; 才脇直樹, 2024, 2024, HCI-206
• Not Refereed, DEVELOPMENT OF A MULTIMODAL GAIT EVALUATION SYSTEM FOR ASSESSING KNEE JOINT FUNCTION AND AN INTERVENTION STUDY FOR COMMUNITY-DWELLING OLDER ADULTS, Jul. 2023, 37, 70, 74
• Not Refereed, 2023, 2023, Summary national conference
• 2023, 2023
• 2023, 2023
• 2023, 2023
• 2023, 2023
• 2023, 2023
• 2023, 2023
• 2023, 2023
• システム制御情報学会研究発表講演会講演論文集(CD-ROM), Aspiring for research and development of smart sensing technologies to support healthy living, 安在絵美, 2023, 67th
• The Japanese Journal of Ergonomics, Japan Human Factors and Ergonomics Society, Development and evaluation of insole-type plantar pressure measurement device for detecting risk of anterior cruciate ligament injury, OKAMOTO Sae; ANZAI Emi; HASHIZUME Satoru; SAIWAKI Naoki, 30 Jul. 2022, 58, Supplement, 2E5-05, 2E5-05, 10.5100/jje.58.2e5-05

  DOI URL
• 2022, 66, 8
• 日本人間工学会関西支部大会講演論文集, What We Can Do to Practice Sustainable Human Factors and Ergonomics, Referring to the SEGs 2040, 常見麻芙; 常見麻芙; 安在絵美; 西澤優里, 2022, 2022
• 2022, 2022
• 2022, 2022
• 2022, 2022
• 2022, 2022
• 2022, 2022
• 2022, 2022
• 2022, 43, Supplement
• 2022, 58, 3, 130, 133
• Nov. 2021, 45, 4, 251, 258

  PermalinkURL
• ヒューマンインタフェースシンポジウム論文集(CD-ROM), Distinguish between Having Scratching Behavior and not Having, Using Machine Learning, 勝島彩葉; 安在絵美; 才脇直樹; 才脇直樹, 2021, 2021
• 2021, 2021 (CD-ROM)
• 日本人間工学会関西支部大会講演論文集, Scratching Behavior Detection System for Measures Against Atopic Dermatitis Using Finger Acceleration Data, 勝島彩葉; 安在絵美; 才脇直樹, 2021, 2021
• 2021, 57, 3, 139, 142
• 2021, 34
• 日本繊維機械学会年次大会研究発表論文集・講演要旨集, Underwater IoT System with Swimsuit due to Support of Water Accident Prevention for Children and Handicapped, 藪内美登理; 安在絵美; 才脇直樹; 才脇直樹, 2021, 74th
• 日本繊維機械学会年次大会研究発表論文集・講演要旨集, Development of the interaction system for sound and video using smart textiles, 佐藤優; 安在絵美; 才脇直樹; 才脇直樹, 2021, 74th
• 日本繊維機械学会年次大会研究発表論文集・講演要旨集, Measurement of Underwear Deformation due to Body Movement for the Development of Brassieres for Breast Cancer Patients, 野末楓夏; 安在絵美; 才脇直樹; 才脇直樹, 2021, 74th
• 2021, 39th
• 2021, 42nd (CD-ROM)
• ヒューマンインタフェース学会論文誌(CD-ROM), Development of Sensor Integrated Ware Capable of Respiration Measurement using Printed Electronics, 藤本和賀代; 川治和奏; 本田麻由美; 安在絵美; 山内基雄; 才脇直樹, 2020, 22, 1-4
• 2020, 2020
• 2020, 2020
• 2020, 2020
• 2020, 2020
• 2020, 2020
• 2020, 2020
• 自動制御連合講演会(CD-ROM), Development of Scratching Behavior Detection System Using Acceleration Measurement, 勝島彩葉; 安在絵美; 才脇直樹, 2020, 63rd (Web)
• 自動制御連合講演会(CD-ROM), Evaluation of plantar shear stress during change in direction movements when wearing nanofiber socks, 里見和音; 安在絵美; 才脇直樹, 2020, 63rd (Web)
• Not Refereed, 20 Jul. 2019, 2019, 1435, 1436

  URL
• Not Refereed, 20 Jul. 2019, 2019, 1437, 1438

  URL
• Not Refereed, Jul. 2019, 40, Suppl., S241, S241
• Not Refereed, Development of Sensor Integrated Clothes Capable of Respiration Measurement using Printed Electronics, 22 May 2019, 63, 75, 77
• Not Refereed, Development of Sensing Supporter using Printed Electronics, 22 May 2019, 63, 78, 80
• Not Refereed, Development of IoT Robot Nurse, 22 May 2019, 63, 85, 88
• Not Refereed, May 2019, 71回, 138, 138
• 自動制御連合講演会(CD-ROM), HI design of IoT nurse robot in health monitoring system using sensing wear, 藤本和賀代; 川治和奏; 本田麻由美; 安在絵美; 才脇直樹, 2019, 62nd
• ヒューマンインタフェースシンポジウム論文集(CD-ROM), Development of Smart-Bag Using Conductive Flat Surface Fastener, 里見和音; 安在絵美; 才脇直樹, 2019, 2019
• Not Refereed, Oct. 2018, 20, 4, 299, 299
• Not Refereed, Aug. 2018, 32, 1, 41, 41
• 電子情報通信学会技術研究報告, Development of Sensor ware that can measure respiration using Printed Electronics, 藤本和賀代; 黒澤眞心; 安在絵美; 太田裕治; 山内基雄; 才脇直樹, 2018, 118, 50(HIP2018 1-31)
• ヒューマンインタフェース学会研究報告集(CD-ROM), Development of Sensor ware that can measure respiration using Printed Electronics, 藤本和賀代; 黒澤眞心; 安在絵美; 太田裕治; 山内基雄; 才脇直樹, 2018, 20
• Not Refereed, Oct. 2017, 19, 4, 338, 338
• Not Refereed, Sep. 2017, 2017, 395, 396
• Not Refereed, Sep. 2017, 2017, 407, 410
• Not Refereed, Sep. 2017, 2017, 413, 416
• Not Refereed, Sep. 2017, 2017, 421, 424
• 2017, 15th
• 2017, 56th
• Not Refereed, Sep. 2016, 2016, 013, 014
• 2016, 25
• 2016, 14th
• 2016, 11, 1
• Not Refereed, The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec), The Japan Society of Mechanical Engineers, Measurement of Human Motion to Return to Upright Position and Derivation of the Minimum Torque-Change Model, KOMIYAMA Natsumi; ANZAI Emi; OSUMI Hisashi; OHTA Yuji,

  Human motion to return to upright position is measured and analyzed to reveal the mechanism to generate human motion trajectories for rising up from a bowing posture. The measured results suggest that the performance index to minimize the square sum of torque-changes may be used to form the motion trajectory. Then, a way to derive the optimal motion trajectory using the assumed performance index is described.

  , 2016, 2016, 0, 1A2, 12a7, 10.1299/jsmermd.2016.1A2-12a7

  DOI URL
• Not Refereed, Jun. 2015, 10, 1, 93, 96
• 2015, 10, 1
• Not Refereed, Transactions of Japanese Society for Medical and Biological Engineering, Japanese Society for Medical and Biological Engineering, Evaluation of Gait Feature of Knee-Osteoarthritis by the Shoe Type Stabilometer, ANZAI EMI; Yamashita Kazuhiko; Ohta Yuji, The aim of this study was to elucidate foot structure and gait feature of knee osteoarthritis (KOA). Forty nine person with KOA and 89 controls were measured plantar pressure and gait function by the Shoe Type Stabilometer. As a result, the KOA group was significantly higher outer side of planter pressure compared to control group. It is inferred genu varus of KOA. And the KOA group was significantly decreased gait speed and single support phase and significantly greater lateral displacement of gait cycle than the control group. Therefore, it considered that these data suggest the gait instability by arthritis of the knee and the pronation to reduce the knee adduction moment., 2015, 53, 0, S259_02, S259_02, 10.11239/jsmbe.53.S259_02

  DOI URL
• Not Refereed, The Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME, The Japan Society of Mechanical Engineers, 2A31 Development of fall risk index by lower limb muscle strength and ambulatory function for the elderly, NAKAJIMA Kanako; ANZAI Emi; IWAKAMI Yumi; INO Shuichi; YAMASHITA Kazuhiko; OHTA Yuji, 2014, 2014, 0, 273, 274, 10.1299/jsmebio.2014.26.273

  DOI URL
• Not Refereed, Sep. 2013, 6, 2, 106, 106

  Permalink
• Not Refereed, Sep. 2013, 2013, OS1, 2
• Not Refereed, Transactions of Japanese Society for Medical and Biological Engineering, Japanese Society for Medical and Biological Engineering, Verification of a Foot Arch Classification Technique Using Foot Pressure Distribution Images, IWAKAMI Yumi; Emi Anzai; Nakajima Kanako; Imaizumi Kazuya; Yamashita KAZUHIKO; OKABE Makoto; ONAI Rikio, 2013, 51, 0, R, 83-R-83, 10.11239/jsmbe.51.R-83

  DOI URL
• Not Refereed, Nov. 2012, 2012, GS3, 7
• Not Refereed, Nov. 2012, 2012, OS2, 6
• 22 Jun. 2012, 112, 101, 67, 70
• Not Refereed, Development of the foot pressure measurement device and evaluation of ambulatory function for fall prevention on elderly, NAKAJIMA Kanako; ANZAI Emi; IWAKAMI Yumi; SAITO Michiko; INO Shuichi; IFUKUBE Tohru; YAMASHITA Kazuhiko; OHTA Yuji, 22 Jun. 2012, 2012, 50, 67, 70
• 2012, 51st
• 2012, 51st
• 2012, 51st
• Not Refereed, Nov. 2011, 2011, 77, 77

Books etc

Presentations

• Public discourse, 18 Mar. 2025
• Invited oral presentation, 06 Dec. 2024
• Poster presentation, 18 Sep. 2024, 18 Sep. 2024 - 20 Sep. 2024
• Poster presentation, 19 Sep. 2024
• Invited oral presentation, 08 Aug. 2024
• Poster presentation, 23 Jun. 2024, 22 Jun. 2024 - 23 Jun. 2024
• Poster presentation, 11 May 2024
• Oral presentation, 26 Mar. 2024
• Poster presentation, 07 Mar. 2024
• Poster presentation, 24 Jun. 2023
• Poster presentation, 24 Jun. 2023
• Poster presentation, 24 Jun. 2023
• Poster presentation, 24 Jun. 2023
• 24 Jun. 2023
• Poster presentation, 24 Jun. 2023
• Poster presentation, 24 Jun. 2023
• Oral presentation, 24 Jun. 2023
• Oral presentation, 10 Mar. 2023
• Nominated symposium, 29 Jan. 2023
• Nominated symposium, 19 Jan. 2023
• Oral presentation, 26 Dec. 2022, False
• Invited oral presentation, 22 Jul. 2022
• Poster presentation, 26 Jun. 2022
• Poster presentation, 26 Jun. 2022
• Poster presentation, 25 Jun. 2022
• Oral presentation, 25 Jun. 2022
• Oral presentation, 25 Jun. 2022
• Oral presentation, 25 Jun. 2022
• Dec. 2020
• Oral presentation, 30 Jul. 2022 - 31 Jul. 2022

Awards

• Dec. 2023
• Jun. 2023
• Dec. 2022
• Mar. 2021
• Mar. 2018
• Nov. 2014
• Sep. 2014
• May 2014
• Nov. 2011
• Nov. 2011

Industrial Property Rights

• Patent right, 行動判定装置、行動判定システム、行動判定方法及びプログラム, 安在 絵美; 太田 裕治; 任 点, 国立大学法人お茶の水女子大学, JP2019005873, 18 Feb. 2019, 特許第7304079号, 28 Jun. 2023, j_global

  対象リソースIRI
• Patent right, 歩行・足部評価システム、端末装置、歩行・足部評価方法、及び歩行・足部評価プログラム, 太田 裕治; 安在 絵美; 中嶋 香奈子; 留奥 美希; 才脇 直樹; 笹田 安那, ; ; , 特願2019-504620, 06 Mar. 2018, 特開2021-166898, 21 Oct. 2021, 特許第7235260号, 28 Feb. 2023, j_global

  対象リソースIRI
• Patent right, 歩行・足部評価装置、歩行・足部評価プログラム、歩行・足部評価装置の作動方法、及び歩行・足部評価システム, 太田 裕治; 安在 絵美; 中嶋 香奈子; 留奥 美希; 才脇 直樹; 笹田 安那, ; ; , 特願2019-504620, 06 Mar. 2018, 特許第6928355号, 11 Aug. 2021, j_global

  対象リソースIRI
• Patent right, 行動判定装置、行動判定システム、行動判定方法及びプログラム, 安在 絵美; 太田 裕治; 任 点, 国立大学法人お茶の水女子大学, JP2019005873, 18 Feb. 2019, WO2019-163714, 29 Aug. 2019, j_global

  対象リソースIRI
• Patent right, 歩行・足部評価方法、歩行・足部評価プログラムおよび歩行・足部評価装置, 太田 裕治; 安在 絵美; 中嶋 香奈子; 留奥 美希; 才脇 直樹; 笹田 安那, ; ; , JP2018008663, 06 Mar. 2018, WO2018-164157, 13 Sep. 2018, j_global

  対象リソースIRI