1. Preeti Agarwal and Mansaf Alam . 2020. A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices. Procedia Computer Science 167 (Jan . 2020 ), 2364–2373. https://doi.org/10.1016/j.procs.2020.03.289 Preeti Agarwal and Mansaf Alam. 2020. A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices. Procedia Computer Science 167 (Jan. 2020), 2364–2373. https://doi.org/10.1016/j.procs.2020.03.289
2. Human activity analysis
3. Ong Chin Ann and Lau Bee Theng . 2014 . Human activity recognition: A review . In Proceedings - 4th IEEE international conference on control system, computing and engineering, ICCSCE 2014 . 389–393. https://doi.org/10.1109/ICCSCE.2014.7072750 Ong Chin Ann and Lau Bee Theng. 2014. Human activity recognition: A review. In Proceedings - 4th IEEE international conference on control system, computing and engineering, ICCSCE 2014. 389–393. https://doi.org/10.1109/ICCSCE.2014.7072750
4. Kevin Bouchard , Bruno Bouchard , and Abdenour Bouzouane . 2014. Practical guidelines to build smart homes : Lessons learned. Opportunistic networking, smart home, smart city, smart systems 1, January 2015 (2014), 1–38. Kevin Bouchard, Bruno Bouchard, and Abdenour Bouzouane. 2014. Practical guidelines to build smart homes : Lessons learned. Opportunistic networking, smart home, smart city, smart systems 1, January 2015(2014), 1–38.
5. Accurate RFID Trilateration to Learn and Recognize Spatial Activities in Smart Environment;Bouchard Kevin;International Journal of Distributed Sensor Networks,2013