IEEE INFOCOM 2023
BreathSign: Transparent and Continuous In-ear Authentication Using Bone-conducted Breathing Biometrics
Feiyu Han, Panlong Yang and Shaojie Yan (University of Science and Technology of China, China); Haohua Du (Beihang University, China); Yuanhao Feng (University of Science and Technology of China, China)
Speaker Feiyu Han (University of Science and Technology of China)
Feiyu Han is a PhD student in the LINKE lab at USTC, China. His research area is wearable computing and authentication. He received his B.S. degree from the school of computer science and engineering, Nanjing University of Science and Technology in 2019.
FacER: Contrastive Attention based Expression Recognition via Smartphone Earpiece Speaker
Guangjing Wang, Qiben Yan, Shane Patrarungrong, Juexing Wang and Huacheng Zeng (Michigan State University, USA)
Speaker Guangjing Wang (Michigan State University)
Guangjing Wang is a Ph.D. candidate in Computer Science and Engineering, at Michigan State University. His research mainly focuses on mobile sensing, security and privacy. More information can be found at https://guangjing.wang/
Wider is Better? Contact-free Vibration Sensing via Different COTS-RF Technologies
Zhe Chen (China-Singapore International Joint Research Institute, China); Tianyue Zheng (Nanyang Technological University, Singapore); Chao Cai (Huazhong University of Science and Technology, China); Yue Gao (University of Surrey, United Kingdom (Great Britain)); Pengfei Hu (Shandong University, China); Jun Luo (Nanyang Technological University, Singapore)
Speaker Zhe Chen (Fudan University)
Dr. Zhe Chen is the Co-Founder of AIWiSe Ltd. Inc. He obtained his Ph.D. degree in Computer Science from Fudan University, China, with a 2019 ACM SIGCOMM China Doctoral Dissertation Award. Before joining AIWiSe, he worked as a research fellow at NTU for several years, and his research achievements, along with his efforts in launching products based on them, have thus earned him the 2021 ACM SIGMOBILE China Rising Star Award recently. His current research interests include wireless networking, deep learning, mobile and pervasive computing, and embedded systems.
WakeUp: Fine-Grained Fatigue Detection Based on Multi-Information Fusion on Smart Speakers
Zhiyuan Zhao, Fan Li and Yadong Xie (Beijing Institute of Technology, China); Yu Wang (Temple University, USA)
Speaker Zhiyuan Zhao (Beijing Institute of Technology )
Zhiyuan Zhao received the ME degree in computational mathematics from the Hefei University of Technology in 2020, and BE degree in applied mathematics from the Henan Normal University in 2017. Currently he is a Ph.D. student in the School of Computer Science, Beijing Institute of Technology, Beijing, China. His research interests include mobile computing, mobile health, human-computer interaction, and deep learning.