2000 character limit reached
Generative Resident Separation and Multi-label Classification for Multi-person Activity Recognition (2404.07245v1)
Published 10 Apr 2024 in cs.LG, cs.AI, and eess.SP
Abstract: This paper presents two models to address the problem of multi-person activity recognition using ambient sensors in a home. The first model, Seq2Res, uses a sequence generation approach to separate sensor events from different residents. The second model, BiGRU+Q2L, uses a Query2Label multi-label classifier to predict multiple activities simultaneously. Performances of these models are compared to a state-of-the-art model in different experimental scenarios, using a state-of-the-art dataset of two residents in a home instrumented with ambient sensors. These results lead to a discussion on the advantages and drawbacks of resident separation and multi-label classification for multi-person activity recognition.
- Activity recognition in multi-user environments using techniques of multi-label classification. In Proceedings of the 6th International Conference on the Internet of Things, pages 15–23, 2016.
- Micar: Multi-inhabitant context-aware activity recognition in home environments. Distributed and Parallel Databases, 41(4):571–602, 2023.
- Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473, 2014.
- Modeling interaction in multi-resident activities. Neurocomputing, 230:133–142, 2017.
- Fully convolutional network bootstrapped by word encoding and embedding for activity recognition in smart homes. In Deep Learning for Human Activity Recognition: Second International Workshop, DL-HAR 2020, Held in Conjunction with IJCAI-PRICAI 2020, Kyoto, Japan, January 8, 2021, Proceedings 2, pages 111–125. Springer, 2021.
- Transformer with bidirectional gru for nonintrusive, sensor-based activity recognition in a multiresident environment. IEEE Internet of Things Journal, 9(23):23716–23727, 2022.
- Attributing events to individuals in multi-inhabitant environments. In 2008 IET 4th International Conference on Intelligent Environments, pages 1–8. IET, 2008.
- Binary relevance model for activity recognition in home environment using ambient sensors. In 2019 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), pages 1–2. IEEE, 2019.
- Multi-label classification based ensemble learning for human activity recognition in smart home. Internet of Things, 12:100324, 2020.
- Multi-label learning for activity recognition. In 2015 International Conference on Intelligent Environments, pages 152–155. IEEE, 2015.
- Query2label: A simple transformer way to multi-label classification. arXiv preprint arXiv:2107.10834, 2021.
- Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems, 26, 2013.
- Multi resident complex activity recognition in smart home: A literature review. Int. J. Smart Home, 11(6):21–32, 2017a.
- Modeling activity recognition of multi resident using label combination of multi label classification in smart home. In AIP conference proceedings, volume 1891. AIP Publishing, 2017b.
- Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the Association for Computational Linguistics, pages 311–318, 2002.
- Unsupervised recognition of multi-resident activities in smart-homes. IEEE Access, 8:201985–201994, 2020.
- Recognizing independent and joint activities among multiple residents in smart environments. Journal of ambient intelligence and humanized computing, 1:57–63, 2010.
- Sequence to sequence learning with neural networks. Advances in neural information processing systems, 27, 2014.
- Attention is all you need. Advances in neural information processing systems, 30, 2017.
- smrt: Multi-resident tracking in smart homes with sensor vectorization. IEEE transactions on pattern analysis and machine intelligence, 43(8):2809–2821, 2020.
- Multi-person activity recognition in continuously monitored smart homes. IEEE transactions on emerging topics in computing, 10(2):1130–1141, 2021.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.