Wearable Sensors Applied in Movement Analysis

• Other Authors: Buisseret, Fabien (Editor), Dierick, Frédéric (Editor), Van der Perre, Liesbet (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Medical equipment & techniques; inertial measurement unit; movement analysis; long-track speed skating; validity; IMU; principal component analysis; wearable; scoring; carving; balance assessment; data augmentation; gated recurrent unit; human activity recognition; one-dimensional convolutional neural network; intermittent claudication; vascular rehabilitation; 6 min walking test; functional walking; TUG; kinematics; fall risk; logistic regression; elderly; inertial sensor; artificial intelligence; supervised machine learning; head rotation test; neck pain; cerebral palsy; dystonia; choreoathetosis; machine learning; home-based; wearable device; MLP; gesture recognition; flex sensor; model search; neural network; inertial measurement unit-IMU; movement complexity; sample entropy; trunk flexion; low back pain; lifting technique; camera system; ward clustering method; K-means clustering method; ensemble clustering method; Bayesian neural network; pain self-efficacy questionnaire; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

Recent advances in electronics have led to sensors whose sizes and weights are such that they can be placed on living systems without impairing their natural motion and habits. They may be worn on the body as accessories or as part of the clothing and enable personalized mobile information processin...