A Wearable Airbag to Prevent Fall Injuries
Abstract
We have developed a wearable airbag that incorporates a fall-detection system that uses both acceleration and angular velocity signals to trigger inflation of the airbag. The fall-detection algorithm was devised using a thresholding technique with an accelerometer and gyro sensor. Sixteen subjects mimicked falls, and their acceleration waveforms were monitored. Then, we developed a fall-detection algorithm that could detect signals 300 ms before the fall. This signal was used as a trigger to inflate the airbag to a capacity of 2.4 L. Although the proposed system can help to prevent fall-related injuries, further development is needed to miniaturize the inflation system.
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Airbag systems rely on wearable accelerometers and gyroscopes to trigger inflation when a fall is detected.
“These systems rely upon wearable accelerometers and gyroscopes to trigger the inflation of the airbag when a fall is detected.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [82]
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References 12 · Cited by 223
- Authors
- Tamura, T., Yoshimura, T., Sekine, M., Uchida, M., & Tanaka, O.
- Affiliations
- Chiba University (JP)
- Tokyo Metropolitan College of Industrial Technology (JP)
- ORCID
- Tamura, T.
- Venue
- IEEE Transactions on Information Technology in Biomedicine
- Published
- 2009-11
- Volume
- 13
- Issue
- 6
- Pages
- 910-914
- ISSN
- 1089-7771 (ISSN-L)
- OpenAlex
- W2152599926
- Cited by
- 223
- References
- 12
- Citations by year
- 2026: 7 · 2025: 16 · 2024: 11 · 2023: 16 · 2022: 20 · 2021: 15 · 2020: 20 · 2019: 21 · 2018: 9 · 2017: 15 · 2016: 12 · 2015: 10 · 2014: 14 · 2013: 15 · 2012: 11
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Transactions on Information Technology in Biomedicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- fall detection, fall injury prevention, accelerometer, gyroscope, inertial sensors, threshold algorithm, airbag inflation, wearable safety device
- MeSH terms
- Acceleration, Accidental Falls, Adolescent, Adult, Algorithms, Clothing, Equipment Design, Humans, Wounds and Injuries, Air Bags, Monitoring, Ambulatory
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