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Human activity recognition (HAR) from on-body sensors is a core functionality in many AI applications: from personal health, through sports and wellness to Industry 4.0.
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MLCNNwav: Multi-level Convolutional Neural Network with Wavelet Transformations for Sensor-based Human Activity Recognition
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Deep learning and model personalization in sensor-based human activity recognition
Anna Ferrari et al · 2023
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Yifan Hu. 2023 · 2023
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Shuokang Huang, Po-Yu Chen, and Julie McCann. 2023 · 2023
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MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications
Hyunseo Park, Nakyoung Kim, Gyeong Ho Lee, and Jun Kyun Choi. 2023 · 2023
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A study on diffusion modelling for sensor-based human activity recognition. In 2023 11th International Workshop on Biometrics and Forensics (IWBF) . IEEE, 1–7
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ATFA: Adversarial Time–Frequency Attention network for sensor-based multimodal human activity recognition
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The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
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