+ Site Statistics
+ Search Articles
+ PDF Full Text Service
How our service works
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ Translate
+ Recently Requested

A wearable system for pre-impact fall detection



A wearable system for pre-impact fall detection



Journal of Biomechanics 41(16): 3475-3481



Unique features of body segment kinematics in falls and activities of daily living (ADL) are applied to make automatic detection of a fall in its descending phase, prior to impact, possible. Fall-related injuries can thus be prevented or reduced by deploying fall impact reduction systems, such as an inflatable airbag for hip protection, before the impact. In this application, the authors propose the following hypothesis: "Thigh segments normally do not exceed a certain threshold angle to the side and forward directions in ADL, whereas this abnormal behavior occurs during a fall activity". Torso and thigh wearable inertial sensors (3D accelerometer and 2D gyroscope) are used and the whole system is based on a body area network (BAN) for the comfort of the wearer during a long term application. The hypothesis was validated in an experiment with 21 young healthy volunteers performing both normal ADL and fall activities. Results show that falls could be detected with an average lead-time of 700 ms before the impact occurs, with no false alarms (100% specificity), a sensitivity of 95.2%. This is the longest lead-time achieved so far in pre-impact fall detection.

Please choose payment method:






(PDF emailed within 0-6 h: $19.90)

Accession: 051285305

Download citation: RISBibTeXText

PMID: 18996529

DOI: 10.1016/j.jbiomech.2008.08.009


Related references

Development of a wearable-sensor-based fall detection system. International Journal of Telemedicine and Applications 2015: 576364, 2015

Toward the design of a wearable system for fall-risk detection in telerehabilitation. Telemedicine Journal and E-Health 15(3): 296-299, 2009

Survey on fall detection and fall prevention using wearable and external sensors. Sensors 14(10): 19806-19842, 2014

Defining the user requirements for wearable and optical fall prediction and fall detection devices for home use. Informatics for Health and Social Care 35(3-4): 177-187, 2011

Assessing fall risk using wearable sensors: a practical discussion. A review of the practicalities and challenges associated with the use of wearable sensors for quantification of fall risk in older people. Zeitschrift für Gerontologie und Geriatrie 45(8): 694-706, 2012

Wearable sensors for reliable fall detection. Conference Proceedings 4: 3551-3554, 2005

Improving Fall Detection Using an On-Wrist Wearable Accelerometer. Sensors 18(5):, 2018

Analysis of Public Datasets for Wearable Fall Detection Systems. Sensors 17(7):, 2017

Testing non-wearable fall detection methods in the homes of older adults. Conference Proceedings 2016: 557-560, 2016

Wearable technology and ECG processing for fall risk assessment, prevention and detection. Conference Proceedings 2015: 7740-7743, 2015

Automatic fall detection using wearable biomedical signal measurement terminal. Conference Proceedings 2009: 5203-5206, 2009

Application of motion analysis system in pre-impact fall detection. Journal of Biomechanics 41(10): 2297-2304, 2008

Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets. Plos one 12(7): E0180318, 2017

Real-World Accuracy and Use of a Wearable Fall Detection Device by Older Adults. Journal of the American Geriatrics Society 63(11): 2415-2416, 2015

Freezing of gait and fall detection in Parkinson's disease using wearable sensors: a systematic review. Journal of Neurology 264(8): 1642-1654, 2017