| Autor: |
Lin CL; Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Chiu WC; Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Chu TC; Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Ho YH; Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Chen FH; Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Hsu CC; Department of Electrical Engineering, National Cheng Kung University, Tainan City 701, Taiwan., Hsieh PH; Garmin Asia Corporation, New Taipei City 221, Taiwan., Chen CH; Department of Industrial Design, National Cheng Kung University, Tainan City 701, Taiwan., Lin CK; Department of Neurology, National Cheng Kung University Hospital, Tainan City 704, Taiwan., Sung PS; Department of Neurology, National Cheng Kung University Hospital, Tainan City 704, Taiwan., Chen PT; Department of Biomedical Engineering, National Cheng Kung University, Tainan City 701, Taiwan. |
| Abstrakt: |
This work presents a fall detection system that is worn on the head, where the acceleration and posture are stable such that everyday movement can be identified without disturbing the wearer. Falling movements are recognized by comparing the acceleration and orientation of a wearer's head using prespecified thresholds. The proposed system consists of a triaxial accelerometer, gyroscope, and magnetometer; as such, a Madgwick's filter is adopted to improve the accuracy of the estimation of orientation. Moreover, with its integrated Wi-Fi module, the proposed system can notify an emergency contact in a timely manner to provide help for the falling person. Based on experimental results concerning falling movements and activities of daily living, the proposed system achieved a sensitivity of 96.67% in fall detection, with a specificity of 98.27%, and, therefore, is suitable for detecting falling movements in daily life. |
