ASPS-1.4
REAL-TIME FALL DETECTION USING MMWAVE RADAR
Wenxuan Li, Dongheng Zhang, Yadong Li, Zhi Wu, Jinbo Chen, Dong Zhang, Yang Hu, Qibin Sun, Yan Chen, University of Science and Technology of China, China
Session:
Signal Processing for Health and Wellness Monitoring
Track:
Applied Signal Processing Systems
Location:
Gather Area A
Presentation Time:
Sun, 8 May, 23:00 - 23:45 China Time (UTC +8)
Sun, 8 May, 15:00 - 15:45 UTC
Sun, 8 May, 15:00 - 15:45 UTC
Session Chair:
Lei Wang, KLASS Engineering and Solutions Pte Ltd
Session ASPS-1
ASPS-1.1: COUGHTRIGGER: EARBUDS IMU BASED COUGH DETECTION ACTIVATOR USING AN ENERGY-EFFICIENT SENSITIVITY-PRIORITIZED TIME SERIES CLASSIFIER
Shibo Zhang, Nabil Alshurafa, Northwestern University, United States of America; Ebrahim Nemati, Tousif Ahmed, Mahbubur Rahman, Jilong Kuang, Alex Gao, Samsung Research America, United States of America; Minh Dinh, Nathan Folkman, Samsung Design Innovation Center, United States of America
ASPS-1.2: NON-INVASIVE BLOOD PRESSURE MONITORING WITH MULTI-MODAL IN-EAR SENSING
Hoang Truong, Alessandro Montanari, Fahim Kawsar, Nokia Bell Labs, United Kingdom of Great Britain and Northern Ireland
ASPS-1.3: Intelligent Wi-Fi Based Child Presence Detection System
Xiaolu Zeng, K. J. Ray Liu, University of Maryland College Park, United States of America; Beibei Wang, Sai Deepika Regani, Origin Wireless Inc, United States of America; Chenshu Wu, The University of Hong Kong, Hong Kong
ASPS-1.4: REAL-TIME FALL DETECTION USING MMWAVE RADAR
Wenxuan Li, Dongheng Zhang, Yadong Li, Zhi Wu, Jinbo Chen, Dong Zhang, Yang Hu, Qibin Sun, Yan Chen, University of Science and Technology of China, China
ASPS-1.5: HIERARCHICAL DEEP LEARNING MODEL WITH INERTIAL AND PHYSIOLOGICAL SENSORS FUSION FOR WEARABLE-BASED HUMAN ACTIVITY RECOGNITION
Dae Yon Hwang, Pai Chet Ng, Dimitrios Hatzinakos, Konstantinos N. Plataniotis, University of Toronto, Canada; Yuanhao Yu, Yang Wang, Huawei Technologies, Canada; Petros Spachos, University of Guelph, Canada