Recent progress in sensing and computing techniques for human activity recognition and motion analysis
The recent scientific and technical advances in Internet of Things (IoT) based pervasive
sensing and computing have created opportunities for the continuous monitoring of human …
sensing and computing have created opportunities for the continuous monitoring of human …
Gait recognition for lower limb exoskeletons based on interactive information fusion
W Chen, J Li, S Zhu, X Zhang, Y Men… - Applied Bionics and …, 2022 - Wiley Online Library
In recent decades, although the research on gait recognition of lower limb exoskeleton robot
has been widely developed, there are still limitations in rehabilitation training and clinical …
has been widely developed, there are still limitations in rehabilitation training and clinical …
A data analytic framework for physical fatigue management using wearable sensors
The use of expert systems in optimizing and transforming human performance has been
limited in practice due to the lack of understanding of how an individual's performance …
limited in practice due to the lack of understanding of how an individual's performance …
Human-in-the-loop adaptive control of a soft exo-suit with actuator dynamics and ankle impedance adaptation
Soft exo-suit could facilitate walking assistance activities (such as level walking, upslope,
and downslope) for unimpaired individuals. In this article, a novel human-in-the-loop …
and downslope) for unimpaired individuals. In this article, a novel human-in-the-loop …
Traffic congestion monitoring using an improved kNN strategy
A systematic approach for monitoring road traffic congestion is developed to improve safety
and traffic management. To achieve this purpose, an improved observer merging the …
and traffic management. To achieve this purpose, an improved observer merging the …
MEMS inertial sensors based gait analysis for rehabilitation assessment via multi-sensor fusion
Gait and posture are regular activities which are fully controlled by the sensorimotor cortex.
In this study, fluctuations of joint angle and asymmetry of foot elevation in human walking …
In this study, fluctuations of joint angle and asymmetry of foot elevation in human walking …
Deepbbwae-net: A cnn-rnn based deep superlearner for estimating lower extremity sagittal plane joint kinematics using shoe-mounted imu sensors in daily living
MSB Hossain, J Dranetz, H Choi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Measurement of human body movement is an essential step in biomechanical analysis. The
current standard for human motion capture systems uses infrared cameras to track reflective …
current standard for human motion capture systems uses infrared cameras to track reflective …
Monitoring worker fatigue using wearable devices: A case study to detect changes in gait parameters
The goal of this case study is to answer four research questions related to fatigue through
features derived from wearable sensors to measure patterns in steps:(1) How do important …
features derived from wearable sensors to measure patterns in steps:(1) How do important …
Efficiency of deep neural networks for joint angle modeling in digital gait assessment
J Conte Alcaraz, S Moghaddamnia… - EURASIP Journal on …, 2021 - Springer
Reliability and user compliance of the applied sensor system are two key issues of digital
healthcare and biomedical informatics. For gait assessment applications, accurate joint …
healthcare and biomedical informatics. For gait assessment applications, accurate joint …
A simple, low-cost and efficient gait analyzer for wearable healthcare applications
The aging population is projected to rise significantly due to continuous improvements in
healthcare, personal and environmental hygiene, nutrition, and education. This large aging …
healthcare, personal and environmental hygiene, nutrition, and education. This large aging …