{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:48:27Z","timestamp":1760150907410,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,2,4]],"date-time":"2022-02-04T00:00:00Z","timestamp":1643932800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJRX18H5"],"award-info":[{"award-number":["JPMJRX18H5"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]},{"name":"New Energy and Industrial Technology Development Organization","award":["JPNP20006"],"award-info":[{"award-number":["JPNP20006"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>As the world\u2019s population ages, technology-based support for the elderly is becoming increasingly important. This study analyzes the relationship between natural standing behavior measured in a living space of elderly people and the classes of standing aids, as well as the physical and cognitive abilities contributing to household fall injury prevention. In total, 24 elderly standing behaviors from chairs, sofas, and nursing beds recorded in an RGB-D elderly behavior library were analyzed. The differences in standing behavior were analyzed by focusing on intrinsic and common standing aid characteristics among various seat types, including armrests of chairs or sofas and nursing bed handrails. The standing behaviors were categorized into two types: behaviors while leaning the trunk forward without using an armrest as a standing aid and those without leaning the trunk forward by using an arrest or handrail as a standing aid. The standing behavior clusters were distributed in a two-dimensional map based on the seat type rather than the physical or cognitive abilities. Therefore, to reduce the risk of falling, it would be necessary to implement a seat type that the elderly can unconsciously and naturally use as a standing aid even with impaired physical and cognitive abilities.<\/jats:p>","DOI":"10.3390\/s22031178","type":"journal-article","created":{"date-parts":[[2022,2,6]],"date-time":"2022-02-06T20:40:18Z","timestamp":1644180018000},"page":"1178","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Analysis of Relationship between Natural Standing Behavior of Elderly People and a Class of Standing Aids in a Living Space"],"prefix":"10.3390","volume":"22","author":[{"given":"Yusuke","family":"Miyazaki","sequence":"first","affiliation":[{"name":"Department of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kei","family":"Hirano","sequence":"additional","affiliation":[{"name":"Department of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan"},{"name":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26, Aomi, Koto-ku, Tokyo 135-0064, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Koji","family":"Kitamura","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26, Aomi, Koto-ku, Tokyo 135-0064, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoshifumi","family":"Nishida","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26, Aomi, Koto-ku, Tokyo 135-0064, Japan"},{"name":"Department of Mechanical Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,4]]},"reference":[{"key":"ref_1","unstructured":"WHO (2021, October 31). Ageing and Health. Available online: https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/ageing-and-health."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.neucli.2013.10.129","article-title":"Posture and cognition in the elderly: Interaction and contribution to the rehabilitation strategies","volume":"44","author":"Borel","year":"2014","journal-title":"Neurophysiol. Clin. Clin. Neurophysiol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1077","DOI":"10.1111\/j.1532-5415.1999.tb05230.x","article-title":"Lateral stability, sensorimotor function and falls in older people","volume":"47","author":"Lord","year":"1999","journal-title":"J. Am. Geriatr. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"127","DOI":"10.4017\/gt.2014.12.3.001.00","article-title":"Automated detection of wandering patterns in people with dementia","volume":"12","author":"Vuong","year":"2014","journal-title":"Gerontechnology"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Su, C., Fu, L., Chien, Y., and Li, T. (2018, January 18\u201321). Activity Recognition System for Dementia in Smart Homes based on Wearable Sensor Data. Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India.","DOI":"10.1109\/SSCI.2018.8628688"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Enshaeifar, S., Zoha, A., Markides, A., Skillman, S., Acton, S.T., Elsaleh, T., Hassanpour, M., Ahrabian, A., Kenny, M., and Klein, S. (2018). Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques. PLoS ONE, 13.","DOI":"10.1371\/journal.pone.0195605"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Enshaeifar, S., Zoha, A., Skillman, S., Markides, A., Acton, S.T., Elsaleh, T., Kenny, M., Rostill, H., Nilforooshan, R., and Barnaghi, P. (2019). Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0209909"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ahamed, F., Shahrestani, S., and Cheung, H. (2020). Internet of Things and Machine Learning for Healthy Ageing: Identifying the Early Signs of Dementia. Sensors, 20.","DOI":"10.3390\/s20216031"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"e19554","DOI":"10.2196\/19554","article-title":"Artificial Intelligence\u2013Powered Digital Health Platform and Wearable Devices Improve Outcomes for Older Adults in Assisted Living Communities: Pilot Intervention Study","volume":"3","author":"Wilmink","year":"2020","journal-title":"JMIR Aging"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"e61","DOI":"10.2196\/jmir.3108","article-title":"Effect of a Kinect-based exercise game on improving executive cognitive performance in community-dwelling elderly: Case control study","volume":"16","author":"Kayama","year":"2014","journal-title":"J. Med. Internet Res."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Parajuli, M., Dat, T., Wanli, M., and Sharma, D. (2012, January 1\u20133). Senior health monitoring using Kinect. Proceedings of the 2012 Fourth International Conference on Communications and Electronics (ICCE), Hue, Vietnam.","DOI":"10.1109\/CCE.2012.6315918"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"105638","DOI":"10.1109\/ACCESS.2019.2932101","article-title":"Physiological Function Assessment Based on Kinect V2","volume":"7","author":"Cao","year":"2019","journal-title":"IEEE Access"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Burle, A.d.Q., Lafayette, T.B.d.G., Fonseca, J.R., Teichrieb, V., and Gama, A.E.F.D. (2020, January 7\u201310). Real-time approach for gait analysis using the Kinect v2 sensor for clinical assessment purpose. Proceedings of the 2020 22nd Symposium on Virtual and Augmented Reality (SVR), Porto de Galinhas, Brazil.","DOI":"10.1109\/SVR51698.2020.00034"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Jang, J., Kim, D., Park, C., Jang, M., Lee, J., and Kim, J. (January, January 24). ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly. Proceedings of the 2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, NV, USA.","DOI":"10.1109\/IROS45743.2020.9341160"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1111\/j.1532-5415.1996.tb06402.x","article-title":"Chair design affects how older adults rise from a chair","volume":"44","author":"Alexander","year":"1996","journal-title":"J. Am. Geriatr. Soc."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"E1-7","DOI":"10.1097\/BRS.0b013e3181c47a0e","article-title":"Kinematics of sagittal spine and lower limb movement in healthy older adults during sit-to-stand from two seat heights","volume":"35","author":"Kuo","year":"2010","journal-title":"Spine"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Kinoshita, S., Kiyama, R., and Yoshimoto, Y. (2015). Effect of Handrail Height on Sit-To-Stand Movement. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0133747"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Murata, E., Kitamura, K., Oono, M., Shirato, Y., and Nishida, Y. (2017, January 17\u201321). Behavior Monitoring with Non-wearable Sensors for Precision Nursing. Proceedings of the Advances in Safety Management and Human Factors, Los Angeles, CA, USA.","DOI":"10.1007\/978-3-319-60525-8_40"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Nishida, Y., and Kitamura, K. (2019). Living Function-Resilient Society in the Centenarian Era: Living Safety Technology Based on Connective, Artificial Intelligence. IoT and Smart Applications, IntechOpen.","DOI":"10.5772\/intechopen.85422"},{"key":"ref_20","unstructured":"AIST (2021, October 29). Elderly Behavior Library. Available online: https:\/\/www.behavior-library-meti.com\/behaviorLib\/homes\/about."},{"key":"ref_21","first-page":"61","article-title":"Functional Evaluation: The Barthel Index","volume":"14","author":"Mahoney","year":"1965","journal-title":"Md. State Med. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0022-3956(75)90026-6","article-title":"\u201cMini-mental state\u201d. A practical method for grading the cognitive state of patients for the clinician","volume":"12","author":"Folstein","year":"1975","journal-title":"J. Psychiatr Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1016\/j.procs.2019.11.073","article-title":"Method for Behavior Normalization to Enable Comparative Understanding of Interactions of Elderly Persons with Consumer Products using a Behavior Video Database","volume":"160","author":"Hirano","year":"2019","journal-title":"Procedia Comput. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1109\/TBME.2002.800763","article-title":"Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly","volume":"49","author":"Najafi","year":"2002","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1007\/s40520-015-0486-1","article-title":"Sit to stand in elderly fallers vs non-fallers: New insights from force platform and electromyography data","volume":"28","author":"Chorin","year":"2016","journal-title":"Aging Clin. Exp. Res."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/0021-9290(91)90328-K","article-title":"Mechanics of a constrained chair-rise","volume":"24","author":"Riley","year":"1991","journal-title":"J. Biomech."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1383","DOI":"10.1016\/0021-9290(92)90052-3","article-title":"Biomechanical analyses of rising from a chair","volume":"25","author":"Schultz","year":"1992","journal-title":"J. Biomech."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/0268-0033(94)90020-5","article-title":"Chair rise strategies in the elderly","volume":"9","author":"Hughes","year":"1994","journal-title":"Clin. Biomech."},{"key":"ref_29","first-page":"561","article-title":"Kinematics of rising from a chair: Image-based analysis of the sagittal hip-spine movement pattern in elderly people who are healthy","volume":"90","author":"Fotoohabadi","year":"2010","journal-title":"Phys. Ther. Rehabil. J."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1298\/ptr.E9923","article-title":"The coordination of joint movements during sit-to-stand motion in old adults: The uncontrolled manifold analysis","volume":"20","author":"Anan","year":"2017","journal-title":"Phys. Ther. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1933","DOI":"10.1016\/j.jbiomech.2016.03.010","article-title":"The validity of assessing temporal events, sub-phases and trunk kinematics of the sit-to-walk movement in older adults using a single inertial sensor","volume":"49","author":"Walgaard","year":"2016","journal-title":"J. Biomech."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1186\/s12984-020-00692-4","article-title":"Postural transitions detection and characterization in healthy and patient populations using a single waist sensor","volume":"17","author":"Atrsaei","year":"2020","journal-title":"J. NeuroEng. Rehabil."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Nose, T., Kitamura, K., Oono, M., Nishida, Y., and Ohkura, M. (2019). Automatic Learning of Climbing Configuration Space for Digital Human Children Model. Advances in Human Factors in Simulation and Modeling, Springer.","DOI":"10.1007\/978-3-319-94223-0_46"},{"key":"ref_34","unstructured":"Sokal, R.R., Michener, C.D., and Kansas, U.O. (1958). A Statistical Method for Evaluating Systematic Relationships, University of Kansas."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/01621459.1963.10500845","article-title":"Hierarchical Grouping to Optimize an Objective Function","volume":"58","author":"Ward","year":"1963","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","article-title":"Silhouettes: A graphical aid to the interpretation and validation of cluster analysis","volume":"20","author":"Rousseeuw","year":"1987","journal-title":"J. Comput. Appl. Math."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1111\/j.1532-5415.2000.tb04999.x","article-title":"Chair and bed rise performance in ADL-impaired congregate housing residents","volume":"48","author":"Alexander","year":"2000","journal-title":"J. Am. Geriatr. Soc."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.jbiomech.2018.02.022","article-title":"Stability basin estimates fall risk from observed kinematics, demonstrated on the Sit-to-Stand task","volume":"72","author":"Shia","year":"2018","journal-title":"J. Biomech."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"110046","DOI":"10.1016\/j.jbiomech.2020.110046","article-title":"Comprehensive description of sit-to-stand motions using force and angle data","volume":"112","author":"McPhee","year":"2020","journal-title":"J. Biomech."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Das, S., Dai, R., Koperski, M., Minciullo, L., Garattoni, L., Bremond, F., and Francesca, G. (November, January 27). Toyota Smarthome: Real-World Activities of Daily Living. Proceedings of the 2019 IEEE\/CVF International Conference on Computer Vision (ICCV), Seoul, Korea.","DOI":"10.1109\/ICCV.2019.00092"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2684","DOI":"10.1109\/TPAMI.2019.2916873","article-title":"NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding","volume":"42","author":"Liu","year":"2020","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/3\/1178\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:13:56Z","timestamp":1760134436000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/3\/1178"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,4]]},"references-count":41,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["s22031178"],"URL":"https:\/\/doi.org\/10.3390\/s22031178","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2022,2,4]]}}}