The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living
Abstract
In this paper, we address natural human-robot interaction (HRI) in a smart assisted living (SAIL) system for the elderly and the disabled. Two common HRI problems are studied: hand gesture recognition and daily activity recognition. For hand gesture recognition, we implemented a neural network for gesture spotting and a hierarchical hidden Markov model for context-based recognition. For daily activity recognition, a multisensor fusion scheme is developed to process motion data collected from the foot and the waist of a human subject. Experiments using a prototype wearable sensor system show the effectiveness and accuracy of our algorithms.
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Citations
Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Cited by
LSTM-CNN Architecture for Human Activity Recognition
Xia, K., Huang, J., & Wang, H. (2020) · IEEE Access · doi:10.1109/access.2020.2982225 · Cited by 851
Machine learning in medical applications: a review of state-of-the-art methods
Shehab, M., Abualigah, L., Shambour, Q., Abu-Hashem, M. A., Shambour, M. K. Y., Alsalibi, A. I., & Gandomi, A. H. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.105458 · Cited by 542
Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications
Fortino, G., Giannantonio, R., Gravina, R., Kuryloski, P., & Jafari, R. (2013) · IEEE Transactions on Human-Machine Systems · doi:10.1109/tsmcc.2012.2215852 · Cited by 412
Lu, Z., Chen, X., Li, Q., Zhang, X., & Zhou, P. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2014.2302794 · Cited by 294
Magnetoresistive Sensor Development Roadmap (Non-Recording Applications)
Zheng, C., Zhu, K., Cardoso de Freitas, S., Chang, J.-Y., Davies, J. E., Eames, P., Freitas, P. P., Kazakova, O., Kim, C., Leung, C.-W., et al. (2019) · IEEE Transactions on Magnetics · doi:10.1109/tmag.2019.2896036 · Cited by 268
Metadata
- Authors
- Zhu, C., & Sheng, W.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
- Published
- 2011-05
- Volume
- 41
- Issue
- 3
- Pages
- 569-573
- ISSN
- 1083-4427 (ISSN-L)
- 1558-2426
- OpenAlex
- W2102205543
- Cited by
- 229
- References
- 1
- FWCI
- 11.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhu, C., & Sheng, W. (2011). Wearable Sensor-Based Hand Gesture and Daily Activity Recognition for Robot-Assisted Living. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. https://doi.org/10.1109/tsmca.2010.2093883
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
