On-line human activity recognition from audio and home automation sensors: Comparison of sequential and non-sequential models in realistic Smart Homes1

Author:

Chahuara Pedro12,Fleury Anthony34,Portet François12,Vacher Michel12

Affiliation:

1. Université Grenoble Alpes, LIG, F-38000 Grenoble, France

2. CNRS, LIG, F-38000 Grenoble, France. E-mails: pedro.chahuara@imag.fr, francois.portet@imag.fr, michel.vacher@imag.fr

3. Université Lille, F-59000 Lille, France

4. Mines Douai, IA, F-59508 Douai Cedex, France. E-mail: anthony.fleury@mines-douai.fr

Publisher

IOS Press

Subject

Software

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1. Wavelet-based temporal models of human activity for anomaly detection in smart robot-assisted environments1;Journal of Ambient Intelligence and Smart Environments;2023-11-03

2. An Investigation Into the Use of Deep Learning to Recognize Human Activity;Advances in Linguistics and Communication Studies;2023-09-15

3. A systematic review of global research on natural user interface for smart home system;International Journal of Industrial Ergonomics;2023-05

4. A Study of Machine Learning Techniques based on Human Daily Living Activities via Inertial Sensors;2023 International Conference on IT Innovation and Knowledge Discovery (ITIKD);2023-03-08

5. Audio-based Active and Assisted Living: A review of selected applications and future trends;Computers in Biology and Medicine;2022-10

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