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Methods for video, inertial and multimodal activity recognition

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Deep Activity Recognition

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RANIERI, C. M.; MACLEOD, S. ; DRAGONE, M. ; VARGAS, P. A. ; ROMERO, R. A. F. . Activity Recognition for Ambient Assisted Living with Videos, Inertial Units and Ambient Sensors. SENSORS, v. 21, p. 768, 2021.

RANIERI, C. M. ; VARGAS, P. A. ; ROMERO, R. A. F. . Uncovering Human Multimodal Activity Recognition with a Deep Learning Approach. In: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Glasgow, UK.

Acknowledgement

This research was funded by the Sao Paulo Research Foundation, grants 2017/02377-5, 2018/25902-0 and 2017/01687-0, and METRICS (H2020-ICT-2019-2-#871252). It was carried out using the computational resources of the Center for Mathematical Sciences Applied to Industry (CeMEAI) funded by FAPESP, grant 2013/07375-0. Additional resources were provided by the Nvidia Grants program.

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