Deep Learning Models for Recognizing the Simple Human Activities Using Smartphone Accelerometer Sensor
Author:
Affiliation:
1. Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi 221 005, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2021.1967792
Reference38 articles.
1. Pattern recognition of daily activity patterns using human mobility motifs and sequence analysis
2. A smartphone sensors-based personalized human activity recognition system for sustainable smart cities
3. Recognition of human activities for wellness management using a smartphone and a smartwatch: A boosting approach
4. A survey on wearable sensor modality centred human activity recognition in health care
5. M. Muaaz, A. L. I. Chelli, A. A. Abdelgawwad, A. C. Mallofré, M. Pätzold, and S. Member, “WiWeHAR: multimodal human activity recognition using Wi-Fi and wearable sensing ModalitiesVol. 8, pp. 164453–164470, 2020.
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