Wearable inertial sensors to recognize basic human motion: What technology for what activity?

Vincent Della-Libera (1) , Alvaro Llaria (1) , Guillaume Terrasson (1) , Octavian Curea (1)

1 ESTIA INSTITUTE OF TECHNOLOGY

Cyber-Physical Systems (CPS) are more and more present in many domains such as Industry 4.0, Smart Farming and Smart Healthcare Systems, among others, mainly due to the advantages offered by the combination of embedded electronics and data processing methods, inherent to CPS. An application field for which the characteristics of CPS are well adapted is the animal or human activity recognition, that can be useful to detect health troubles of the individuals under study. In this frame, this paper evaluates the adequation of different combinations of inertial sensors, together with an Artificial Neural Network based algorithm, to recognize basic human motion. The obtained experimental results are analyzed to corroborate if devices embedding different sensors, like Inertial Measurement Units, offer better performances than accelerometers when recognizing locomotion movements.

Mots clés: Cyber-Physical Systems; Wearable inertial sensors; Inertial measurement unit; Human activity recognition; Artificial neural network; Smart Healthcare

Domaines: Electronique; Réseau de neurones [cs.NE]

Vincent Della-Libera, Alvaro Llaria, Guillaume Terrasson, Octavian Curea. Wearable inertial sensors to recognize basic human motion: What technology for what activity?. 3rd IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Jun 2020, Tampere, Finland. pp.344-349, ⟨10.1109/ICPS48405.2020.9274718⟩. ⟨hal-03038210⟩