A survey on wearable sensor modality centred human activity recognition in health care
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Most existing HAR studies annotate the full range of each activity (macro labels), giving all movements belonging to the same activity the same ground truth label.
“Most existing studies for HAR systems annotate the full range of each activity (macro labels), i.e. from the start of the first movement to the end of the last movement [1], [7].”
From DS-MS-TCN: Otago Exercises Recognition With a Dual-Scale Multi-Stage Temporal Convolutional Network (2024) · cites this paper as [1]
Section 2.3 (p. 15) says most studies supervise data collection and label data using observers or camera recordings. It does not say that most assign one label across every movement from the beginning to the end of an activity. Searches for macro labels, ground-truth labeling, and activity boundaries found no passage establishing that practice. (LLM, conf=0.73)
Experimental — accuracy not yet measuredHAR is emerging as a powerful tool for monitoring the physical, functional, and cognitive health of older adults in their homes.
“To monitor physical, functional, and cognitive health of older adults in their home, HAR is emerging as a powerful tool [2]”
From Human Activity Recognition Using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey (2020) · cites this paper as [2]
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References 283 · Cited by 409
Research works printed but not linked: 15
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- Authors
- Wang, Y., Cang, S., & Yu, H.
- Affiliations
- Zhongyuan University of Technology (CN)
- Yanshan University (CN)
- Dongguan University of Technology (CN)
- Corresponding author
- Yu, Hongnian
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 137
- Pages
- 167-190
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2941733427
- Cited by
- 409
- References
- 283
- Citations by year
- 2026: 32 · 2025: 61 · 2024: 83 · 2023: 92 · 2022: 58 · 2021: 59 · 2020: 20 · 2019: 3 · 2012: 1
- FWCI
- 15.67
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Expert Systems with Applications (publishedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Research Output (Edinburgh Napier University) (submittedVersion, cc-by-nc-nd)
- Edinburgh Napier Research Repository (Edinburgh Napier University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Physical Sciences › Engineering › Biomedical Engineering › Gait Recognition and Analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Human Pose and Action Recognition
- Keywords
- human activity recognition, wearable sensors, sensor modalities, assistive technology, older adults, population aging, health care, environmental sensing, representation learning, data preprocessing, activity classification, deep learning
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