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Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
Beyond hard workout: A multimodal framework for personalised running training with immersive technologies
FP Cardenas Hernandez, J Schneider… - British Journal of …, 2024 - Wiley Online Library
Training to run is not straightforward since without proper personalised supervision and
planning, people will not improve their performance and will increase the risk of injuries …
planning, people will not improve their performance and will increase the risk of injuries …
XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
This study aimed to identify the optimal features of gait parameters to predict the fall risk
level in older adults. The study included 746 older adults (age: 63–89 years). Gait tests (20 …
level in older adults. The study included 746 older adults (age: 63–89 years). Gait tests (20 …
Harvesting inertial energy and powering wearable devices: a review
H Zhang, Q Shen, P Zheng, H Wang, R Zou… - Small …, 2024 - Wiley Online Library
Amidst the swift progression of microelectronics and Internet of Things technology, wearable
devices are gradually gaining ground in the domains of human health monitoring. Recently …
devices are gradually gaining ground in the domains of human health monitoring. Recently …
[HTML][HTML] Monitoring of gait parameters in post-stroke individuals: A feasibility study using rgb-d sensors
Stroke is one of the most significant causes of permanent functional impairment and severe
motor disability. Hemiplegia or hemiparesis are common consequences of the acute event …
motor disability. Hemiplegia or hemiparesis are common consequences of the acute event …
[HTML][HTML] Computation of gait parameters in post stroke and Parkinson's disease: a comparative study using RGB-D sensors and optoelectronic systems
The accurate and reliable assessment of gait parameters is assuming an important role,
especially in the perspective of designing new therapeutic and rehabilitation strategies for …
especially in the perspective of designing new therapeutic and rehabilitation strategies for …
Three-dimensional variable center of mass height biped walking using a new model and nonlinear model predictive control
This paper presents a trajectory generation algorithm for a three-dimensional (3D) biped
robot that can adjust the center of mass (CoM) according to the environment. We adopt a …
robot that can adjust the center of mass (CoM) according to the environment. We adopt a …
Age-related differences in lower limb muscle activation patterns and balance control strategies while walking over a compliant surface
Substantial evidence demonstrates that falls in older adults are leading causes of fatal and
non-fatal injuries and lead to negative impacts on the quality of life in the aging population …
non-fatal injuries and lead to negative impacts on the quality of life in the aging population …
[BUKU][B] Delay and uncertainty in human balancing tasks
T Insperger, J Milton - 2021 - Springer
The question of how the inverted position of a pendulum can be stabilized is of fundamental
importance for understanding human balancing tasks. Applications range from postural …
importance for understanding human balancing tasks. Applications range from postural …
Determinants of age-related decline in walking speed in older women
Background Walking speed is reduced with aging. However, it is not certain whether the
reduced walking speed is associated with physical and coordination fitness. This study …
reduced walking speed is associated with physical and coordination fitness. This study …