TY - GEN
T1 - Personalized Balance and Fall Risk Visualization with Kinect Two
AU - Hayashibe, Mitsuhiro
AU - Gonzalez, Alejandro
AU - Tournier, Maxime
N1 - Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/7
Y1 - 2020/7
N2 - When we face a super-aging society, there is a drastically increased need for efficient systems in terms of time and cost that can improve rehabilitation standards for the elderly people and other motor-impaired subjects. Human balance ability depends largely on the control of the full body center of mass (CoM), fall risks can be evaluated by estimating the subject-specific CoM displacement over the support polygon relating to the foot tracking. The CoM position is often estimated using what are known as anthropometric tables in biomechanics field. However, the parameters have been obtained from a standard population and will differ between subjects. Current existing fall risk assessment usually relies on the generic anthropometric table or need the center of pressure (CoP) recordings which are to be evaluated for the risk of fall. CoP measurements require force platform, wii board or specialized shoes, which limits the practical usage in the daily life environment. This work represents a personalized measure of balance that considers subject-specific body mass variations along with the motion tracking by Kinect Two. Based on our previous developments, we firstly verified the system with Kinect Two recording, and with adaptive support polygon extraction process, it realizes a real-time system for evaluating the personalized balance and fall risk visualization for unknown disturbance without needing force platform.
AB - When we face a super-aging society, there is a drastically increased need for efficient systems in terms of time and cost that can improve rehabilitation standards for the elderly people and other motor-impaired subjects. Human balance ability depends largely on the control of the full body center of mass (CoM), fall risks can be evaluated by estimating the subject-specific CoM displacement over the support polygon relating to the foot tracking. The CoM position is often estimated using what are known as anthropometric tables in biomechanics field. However, the parameters have been obtained from a standard population and will differ between subjects. Current existing fall risk assessment usually relies on the generic anthropometric table or need the center of pressure (CoP) recordings which are to be evaluated for the risk of fall. CoP measurements require force platform, wii board or specialized shoes, which limits the practical usage in the daily life environment. This work represents a personalized measure of balance that considers subject-specific body mass variations along with the motion tracking by Kinect Two. Based on our previous developments, we firstly verified the system with Kinect Two recording, and with adaptive support polygon extraction process, it realizes a real-time system for evaluating the personalized balance and fall risk visualization for unknown disturbance without needing force platform.
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U2 - 10.1109/EMBC44109.2020.9175330
DO - 10.1109/EMBC44109.2020.9175330
M3 - Conference contribution
AN - SCOPUS:85091033851
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 4863
EP - 4866
BT - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
Y2 - 20 July 2020 through 24 July 2020
ER -