Wearable Sensors for Monitoring Human Motion: A Review on Mechanisms, Materials, and Challenges
Open accessAbstract
The emergence of flexible wearable electronics as a new platform for accurate, unobtrusive, user-friendly, and longitudinal sensing has opened new horizons for personalized assistive tools for monitoring human locomotion and physiological signals. Herein, we survey recent advances in methodologies and materials involved in unobtrusively sensing a medium to large range of applied pressures and motions, such as those encountered in large-scale body and limb movements or posture detection. We discuss three commonly used methodologies in human gait studies: inertial, optical, and angular sensors. Next, we survey the various kinds of electromechanical devices (piezoresistive, piezoelectric, capacitive, triboelectric, and transistive) that are incorporated into these sensor systems; define the key metrics used to quantitate, compare, and optimize the efficiency of these technologies; and highlight state-of-the-art examples. In the end, we provide the readers with guidelines and perspectives to address the current challenges of the field.
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AI-based wearable sensors can collect, analyze, and transmit real-time health data to healthcare providers so they can make efficient decisions based on patient data.
“This has led to the emergence of artificial intelligence (AI)-based wearable sensors that can collect, analyze, and transmit real-time health data to healthcare providers so that they can make efficient decisions based on patient data.”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [2]
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References 104 · Cited by 227
- Authors
- Homayounfar, S. Z., & Andrew, T. L.
- Affiliations
- University of Massachusetts Amherst (US)
- Corresponding author
- Andrew, Trisha L.
- Venue
- SLAS TECHNOLOGY
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 25
- Issue
- 1
- Pages
- 9-24
- ISSN
- 2472-6303 (ISSN-L)
- OpenAlex
- W2994954955
- Cited by
- 227
- References
- 104
- Citations by year
- 2026: 38 · 2025: 48 · 2024: 35 · 2023: 37 · 2022: 32 · 2021: 24 · 2020: 12
- FWCI
- 1.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- SLAS TECHNOLOGY (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (CSR 1763524)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- wearable sensors, human motion monitoring, flexible electronics, human walking, inertial sensors, optical sensors, angular sensor, piezoresistive sensors, piezoelectric sensors, capacitive sensors, triboelectric sensors, pressure sensing, posture recognition, assistive technology
- MeSH terms
- Fitness Trackers, Humans, Locomotion, Monitoring, Physiologic
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