Name
Title | ||
|---|---|---|
A real-time fall detection system using a wearable gait analysis sensor and a Support Vector Machine (SVM) classifier |
Abstract | ||
|---|---|---|
In this study, we report a custom designed wireless gait analysis sensor (WGAS) system for real-time fall detection using a Support Vector Machine (SVM) classifier. Our WGAS includes a tri-axial accelerometer, 2 gyroscopes and a MSP430 micro-controller. It was worn by the subjects at either the T4 or at the waist level for various intentional falls, Activities of Daily Living (ADL) and the Dynamic Gait Index (DGI) test. The raw data of tri-axial acceleration and angular velocity is wirelessly transmitted from the WGAS to a nearby PC, and then 6 features were extracted for fall classification using a SVM (Support Vector Machine) classifier. We achieved 98.8% and 98.7% fall classification accuracies from the data at the T4 and belt positions, respectively. Moreover, the preliminary data demonstrates an impressive overall specificity of 99.5% and an overall sensitivity of 97.0% for this WGAS real-time fall detection system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICMU.2015.7061032 | ICMU |
Keywords | Field | DocType |
assisted living,feature extraction,gait analysis,geriatrics,gyroscopes,microcontrollers,pattern classification,sensors,support vector machines,wearable computers,ADL,DGI test,MSP430 microcontroller,SVM classifier,WGAS real-time fall detection system,WGAS system,activities of daily living,angular velocity,custom designed wireless gait analysis sensor,dynamic gait index,fall classification,feature extraction,gyroscopes,raw data,support vector machine,triaxial acceleration,triaxial accelerometer,wearable gait analysis sensor | Computer vision,Gyroscope,Angular velocity,Accelerometer,Computer science,Wearable computer,Support vector machine,Gait analysis,Acceleration,Artificial intelligence,Classifier (linguistics) | Conference |
Citations | PageRank | References |
11 | 0.66 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naohiro Shibuya | 1 | 11 | 0.66 |
| Bhargava Teja Nukala | 2 | 11 | 0.66 |
| Amanda Rodriguez | 3 | 11 | 1.00 |
| J Tsay | 4 | 13 | 2.37 |
| Tam Nguyen | 5 | 34 | 4.59 |
| Steven Zupancic | 6 | 15 | 1.48 |
| Donald Y. Lie | 7 | 69 | 11.16 |