상세정보
학술대회
Danger Detection based on Fusion Analysis of Multimodal Data from a Smartphone and Smartwatch
- 발행일
- 201911
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1143-1145
- 협약과제
- 19HR1600, 다중로그 기반 멀티모달 데이터융합 분석 및 상황 대응 플랫폼 기술 개발, 이용태
- 초록
- In recent days, technologies for detecting dangerous situations have been developed to support public safety. This paper proposes a danger detection technology based on fusion analysis of a smartphone's and smartwatch's multimodal data that include data from accelerometer and gyroscope sensors. The proposed danger detection technology enables fast and accurate danger detection by recognizing movements of an arm based on analysis of sensor data from a smartwatch and by recognizing movements of a leg based on analysis of sensor data from a smartphone. The fast and accurate danger detection of the proposed technology will help to enable fast and appropriate responses to dangers.
- KSP 제안 키워드
- Accelerometer and gyroscope, Detection technology, Fast and accurate, Public safety, danger detection, multimodal data, sensor data