Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
Published 2022 View Full Article
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Title
Human activity recognition using wearable sensors by heterogeneous convolutional neural networks
Authors
Keywords
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Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 198, Issue -, Pages 116764
Publisher
Elsevier BV
Online
2022-03-11
DOI
10.1016/j.eswa.2022.116764
References
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Related references
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- A survey on wearable sensor modality centred human activity recognition in health care
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- Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
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- Human activity recognition with smartphone sensors using deep learning neural networks
- (2016) Charissa Ann Ronao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
- (2016) Francisco Ordóñez et al. SENSORS
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- (2015) Yann LeCun et al. NATURE
- A tutorial on human activity recognition using body-worn inertial sensors
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- Bilinear interpolation theorems and applications
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- The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
- (2013) Ricardo Chavarriaga et al. PATTERN RECOGNITION LETTERS
- A Survey on Human Activity Recognition using Wearable Sensors
- (2012) Oscar D. Lara et al. IEEE Communications Surveys and Tutorials
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