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학술대회 Danger Detection based on Fusion Analysis of Multimodal Data from a Smartphone and Smartwatch
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저자
박현호, 권은정, 변성원, 신원재, 정의석, 이용태
발행일
201911
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.1143-1145
DOI
https://dx.doi.org/10.1109/ICTC46691.2019.8939724
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.
키워드
Danger detection, multimodal data, sensor, smartphone, smartwatch
KSP 제안 키워드
Accelerometer and gyroscope, Detection technology, Fast and accurate, Public safety, danger detection, multimodal data, sensor data