+ 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

Wearable sensors for reliable fall detection



Wearable sensors for reliable fall detection



Conference Proceedings 4: 3551-3554



Unintentional falls are a common cause of severe injury in the elderly population. By introducing small, non-invasive sensor motes in conjunction with a wireless network, the Ivy Project aims to provide a path towards more independent living for the elderly. Using a small device worn on the waist and a network of fixed motes in the home environment, we can detect the occurrence of a fall and the location of the victim. Low-cost and low-power MEMS accelerometers are used to detect the fall while RF signal strength is used to locate the person.

Please choose payment method:






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

Accession: 050965586

Download citation: RISBibTeXText

PMID: 17280991

DOI: 10.1109/iembs.2005.1617246


Related references

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

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

Covariance matrix based fall detection from multiple wearable sensors. Journal of Biomedical Informatics 94: 103189, 2019

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

Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors. Sensors 17(6):, 2017

Fall prediction with wearable sensors--an empirical study on expert opinions. Studies in Health Technology and Informatics 190: 138-140, 2013

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

Quantitative analysis of the fall-risk assessment test with wearable inertia sensors. Conference Proceedings 2013: 7217-7220, 2013

Wearable Sensors: Silver Nanowire Embedded Colorless Polyimide Heater for Wearable Chemical Sensors: Improved Reversible Reaction Kinetics of Optically Reduced Graphene Oxide (Small 42/2016). Small 12(42): 5781-5781, 2016

Prospective Fall-Risk Prediction Models for Older Adults Based on Wearable Sensors. IEEE Transactions on Neural Systems and Rehabilitation Engineering 25(10): 1812-1820, 2017

Wearable Strain Sensors: Carbonized Silk Fabric for Ultrastretchable, Highly Sensitive, and Wearable Strain Sensors (Adv. Mater. 31/2016). Advanced Materials 28(31): 6639, 2016

Wearable Inertial Sensors for Fall Risk Assessment and Prediction in Older Adults: A Systematic Review and Meta-Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering 26(3): 573-582, 2018

Activity Monitoring and Heart Rate Variability as Indicators of Fall Risk: Proof-of-Concept for Application of Wearable Sensors in the Acute Care Setting. Journal of Gerontological Nursing 43(7): 53-62, 2017

Towards mental stress detection using wearable physiological sensors. Conference Proceedings 2011: 1798-1801, 2011

Stress Detection Using Wearable Physiological and Sociometric Sensors. International Journal of Neural Systems 27(2): 1650041, 2017