TY  - JOUR
PY  - 2012//
TI  - Wireless slips and falls prediction system
JO  - Conference proceedings - IEEE engineering in medicine and biology society
A1  - Krenzel, Devon
A1  - Warren, Steve
A1  - Li, Kejia
A1  - Natarajan, Bala
A1  - Singh, Gurdip
SP  - 4042
EP  - 4045
VL  - 2012
IS  - 
N2  - Accidental slips and falls due to decreased strength and stability are a concern for the elderly. A method to detect and ideally predict these falls can reduce their occurrence and allow these individuals to regain a degree of independence. This paper presents the design and assessment of a wireless, wearable device that continuously samples accelerometer and gyroscope data with a goal to detect and predict falls. Lyapunov-based analyses of these time series data indicate that wearer instability can be detected and predicted in real time, implying the ability to predict impending incidents.<p />  <p>Language: en</p>
LA  - en
SN  - 1557-170X
UR  - http://dx.doi.org/10.1109/EMBC.2012.6346854
ID  - ref1
ER  -