Bedtime monitoring for fall detection and prevention in older adults

J Fernández-Bermejo Ruiz, J Dorado Chaparro… - International journal of …, 2022 - mdpi.com
Life expectancy has increased, so the number of people in need of intensive care and
attention is also growing. Falls are a major problem for older adult health, mainly because of …

Survey on Video-Based Biomechanics and Biometry Tools for Fracture and Injury Assessment in Sports

VE Ortiz-Padilla, MA Ramírez-Moreno… - Applied Sciences, 2022 - mdpi.com
This work presents a survey literature review on biomechanics, specifically aimed at the
study of existent biomechanical tools through video analysis, in order to identify …

Micro-Doppler radar gait measurement to detect age-and fall risk-related differences in gait: A simulation study on comparison of deep learning and gait parameter …

K Saho, K Shioiri, M Fujimoto, Y Kobayashi - IEEE Access, 2021 - ieeexplore.ieee.org
This paper describes the application of micro-Doppler radar (MDR) to gait classification
based on fall risk-related differences using deep learning and gait parameter-based …

Optimal sensor placement for estimation of center of plantar pressure based on the improved genetic algorithms

X Xian, Z Zhou, G Huang, J Nong, B Liu… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Plantar pressure analysis can be used for clinical diagnosis, exercise guidance and daily
monitoring. In actual use, the CoP trajectory is an important parameter for dynamic analysis …

Classification of autism and control gait in children using multisegment foot kinematic features

A Pradhan, V Chester, K Padhiar - Bioengineering, 2022 - mdpi.com
Previous research has demonstrated that children with autism walk with atypical ankle
kinematics and kinetics. Although these studies have utilized single-segment foot (SSF) …

[PDF][PDF] 基于足底压力传感器与深度学习的生物身份识别

周丙涛, 陈世强, 程宇阳, 谭林立, 向勉 - 仪器仪表学报, 2021 - jemi.cnjournals.com
近年来研究表明, 足底压力可以反映人体的特征, 在生物识别上具有广阔的前景.
本研究探讨了足底压力进行身份识别的可行性和方法论. 本文使用带有8 个压力传感器的鞋垫 …

Utilization of micro-Doppler radar to classify gait patterns of young and elderly adults: An approach using a long short-term memory network

S Hayashi, K Saho, K Shioiri, M Fujimoto, M Masugi - Sensors, 2021 - mdpi.com
To develop a daily monitoring system for early detection of fall risk of elderly people during
walking, this study presents a highly accurate micro-Doppler radar (MDR)-based gait …

Feasibility Study of Radar-Based Sensing of Motion Comfortability of Pants: Fundamental Experiments to Evaluate Motion Differences in Wearing Denim and Trekking …

K Saho, T Hoshiga, N Takashima, M Iwata… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Considering motion comfort is crucial in the design of both daily and sports pants. However,
conventional technologies such as cloth pressure sensors and motion capture systems often …

Exploration of Effective Time-Velocity Distribution for Doppler-Radar-Based Personal Gait Identification Using Deep Learning

K Shioiri, K Saho - Sensors, 2023 - mdpi.com
Personal identification based on radar gait measurement is an important application of
biometric technology because it enables remote and continuous identification of people …

[HTML][HTML] Simulation study of deep-learning-based gait classification of young/elderly adults using Doppler radar

T Hoshiga, K Saho, K Shioiri, M Fujimoto… - Measurement …, 2021 - Elsevier
Deep-learning-based gait classification of young and elderly adults using micro-Doppler
radar (MDR) is presented in this paper. The MDR signal data were accurately simulated …