Deep learning of smartphone sensor data for personal health assistance
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khan, Z. F., & Alotaibi, S. R. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/8894694 · Cited by 235 · see citing works
- Authors
- Li, H., & Trocan, M.
- Affiliations
- Yangzhou University (CN)
- Institut Supérieur d'Électronique de Paris (FR)
- Corresponding author
- Li, Honggui
- Venue
- Microelectronics Journal
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 88
- Pages
- 164-172
- ISSN
- 0026-2692 (ISSN-L)
- OpenAlex
- W2790155709
- Cited by
- 30
- References
- 44
- Citations by year
- 2026: 1 · 2025: 2 · 2023: 2 · 2022: 8 · 2021: 8 · 2020: 3 · 2019: 5 · 2018: 1
- FWCI
- 2.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Microelectronics Journal (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Keywords
- smartphone sensor data, personal health monitoring, deep stacked autoencoder, human activity recognition, accelerometer, motion state classification, feature extraction, wearable sensing
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