MLMO-HSM: Multi-label Multi-output Hybrid Sequential Model for multi-resident smart home activity recognition

Author:

Ramanujam E.,Perumal ThinagaranORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference54 articles.

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3. Alshammari T, Alshammari N, Sedky M, Howard C (2018) Evaluating machine learning techniques for activity classification in smart home environments. Int J Inf Commun Eng 12:72–78

4. Beard JR, Officer AM, Cassels AK (2016) The world report on ageing and health. Gerontologist 56(Suppl2):S163–S166

5. Chen K, Zhang D, Yao L, Guo B, Yu Z, Liu Y (2021) Deep learning for sensor-based human activity recognition: overview, challenges, and opportunities. ACM Comput Surv (CSUR) 54(4):1–40

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improvement in Multi-resident Activity Recognition System in a Smart Home Using Activity Clustering;Internet of Things. Advances in Information and Communication Technology;2023-10-26

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