The DOI matches its Crossref record; 90 of the 91 references it cites were found in a registry or an index.
A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Open accessAbstract
Characteristics of physical activity are indicative of one’s mobility level, latent chronic diseases and aging process. Accelerometers have been widely accepted as useful and practical sensors for wearable devices to measure and assess physical activity. This paper reviews the development of wearable accelerometry-based motion detectors. The principle of accelerometry measurement, sensor properties and sensor placements are first introduced. Various research using accelerometry-based wearable motion detectors for physical activity monitoring and assessment, including posture and movement classification, estimation of energy expenditure, fall detection and balance control evaluation, are also reviewed. Finally this paper reviews and compares existing commercial products to provide a comprehensive outlook of current development status and possible emerging technologies.
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“A centrally located sensor on the torso (embedded into vests, mounted by straps or attached to the skin) is best suited for detecting posture, acceleration and whole-body movements and offers the least errors compared with other body locations7.”
From Smart wearable devices in cardiovascular care: Where we are and how to move forward (2021) · cites this paper as [7]
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“These devices were selected based on review of sales data in 3 categories of wearable devices—smart watches, basic wearable bands, and portable navigation devices [13-16].”
From Estimating Accuracy at Exercise Intensities: A Comparative Study of Self-Monitoring Heart Rate and Physical Activity Wearable Devices (2017) · cites this paper as [14]
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The Technology of Accelerometry-Based Activity Monitors: Current and Future
CHEN, K. Y., & BASSETT, D. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185571.49104.82 · Cited by 996
A Physiological Profile Approach to Falls Risk Assessment and Prevention
Lord, S. R., Menz, H. B., & Tiedemann, A. (2003) · Physical Therapy · doi:10.1093/ptj/83.3.237 · Cited by 921
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A physiological profile approach to falls risk assessment and prevention
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Flagged first, then by citations
1 of the 91 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Park, 2006, Validation of the AMP331 monitor for assessing energy expenditure of free-living physical activity, Res. Quart. Exerc. Sport, 77, A40
- Sherrington, C (2000). The Effect of Exercise on Physical Ability Following Fall-Related Hip fracture, PhD thesis,.
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Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
The Rise of Consumer Health Wearables: Promises and Barriers
Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1001953 · Cited by 1,301
Smart wearable devices in cardiovascular care: Where we are and how to move forward
Bayoumy, K., Gaber, M., Elshafeey, A., Mhaimeed, O., Dineen, E. H., Marvel, F. A., Martin, S. S., Muse, E. D., Turakhia, M. P., Tarakji, K. G., et al. (2021) · Nature Reviews Cardiology · doi:10.1038/s41569-021-00522-7 · Cited by 829
Physical Human Activity Recognition Using Wearable Sensors
Attal, F., Mohammed, S., Dedabrishvili, M., Chamroukhi, F., Oukhellou, L., & Amirat, Y. (2015) · Sensors · doi:10.3390/s151229858 · Cited by 806
Burke, L. E., Ma, J., Azar, K. M. J., Bennett, G. G., Peterson, E. D., Zheng, Y., Riley, W., Stephens, J., Shah, S. H., Suffoletto, B., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000232 · Cited by 516
Metadata
- Authors
- Yang, C.-C., & Hsu, Y.-L.
- Affiliations
- Yuan Ze University (TW)
- Corresponding author
- Hsu, Yeh-Liang
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2010-08-20
- Volume
- 10
- Issue
- 8
- Pages
- 7772-7788
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC3231187
- OpenAlex
- W2083539525
- Cited by
- 1,058
- References
- 91
- Citations by year
- 2026: 43 · 2025: 51 · 2024: 51 · 2023: 55 · 2022: 59 · 2021: 71 · 2020: 117 · 2019: 83 · 2018: 113 · 2017: 88 · 2016: 80 · 2015: 67 · 2014: 69 · 2013: 60 · 2012: 32
- FWCI
- 4.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- accelerometer, wearable devices, physical activity monitoring, motion detection, posture recognition, movement classification, energy expenditure estimation, fall detection, balance control, sensor placement
- MeSH terms
- Acceleration, Energy Metabolism, Equipment Design, Humans, Motor Activity, Reproducibility of Results, Exercise, Monitoring, Ambulatory, Wireless Technology
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