Stochastic-Biomechanic Modeling and Recognition of Human Movement Primitives, in Industry, Using Wearables

In industry, ergonomists apply heuristic methods to determine workers’ exposure to ergonomic risks; however, current methods are limited to evaluating postures or measuring the duration and frequency of professional tasks. The work described here aims to deepen ergonomic analysis by using joint angl...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2021-04, Vol.21 (7), p.2497
Main Authors: Olivas-Padilla, Brenda Elizabeth, Manitsaris, Sotiris, Menychtas, Dimitrios, Glushkova, Alina
Format: Article
Language:English
Subjects:
Biomechanical Phenomena
Biomechanics
Computer Science
Datasets
Engineering Sciences
Ergonomics
gesture recognition
Human mechanics
Humans
Joints
Kinematics
Laboratories
Mechanics
Modeling and Simulation
Movement
movement modeling
Musculoskeletal system
Posture
Self evaluation
Sports injuries
state-space representation
Wearable Electronic Devices
wearable sensors
Workers
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