Deep learning for sensor-based human activity recognition: Overview, challenges, and opportunities

K Chen, D Zhang, L Yao, B Guo, Z Yu… - ACM Computing Surveys …, 2021 - dl.acm.org
The vast proliferation of sensor devices and Internet of Things enables the applications of
sensor-based activity recognition. However, there exist substantial challenges that could …

A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning

D Bouchabou, SM Nguyen, C Lohr, B LeDuc… - Sensors, 2021 - mdpi.com
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

A comprehensive overview and comparative analysis on deep learning models: CNN, RNN, LSTM, GRU

FM Shiri, T Perumal, N Mustapha… - ar** human activity recognition systems for smart homes from scratch
SK Hiremath, Y Nishimura, S Chernova… - Proceedings of the ACM …, 2022 - dl.acm.org
Smart Homes have come a long way: From research laboratories in the early days, through
(almost) neglect, to their recent revival in real-world environments enabled through the …

Multi-label classification based ensemble learning for human activity recognition in smart home

M Jethanandani, A Sharma, T Perumal, JR Chang - Internet of Things, 2020 - Elsevier
In recent times with advancements in wireless sensor technologies, human activity
recognition in smart home environments have gained significant interest amongst the …