TP2a.4

Adaptive People Counting and Localization Based on Meta Learning with WiFi NICs

Jihoon Cha, Korea Advanced Institute of Science and Technology, Republic of Korea; Hwanjin Kim, Purdue University, Republic of Korea; Junil Choi, Korea Advanced Institute of Science and Technology, Republic of Korea
Session:
TP2a: Machine Learning for MIMO Communication and Sensing Lecture
Track:
MIMO Communications and Signal Processing
Location:
Acacia
Presentation Time:
Tue, 29 Oct, 14:45 - 15:10 PT (UTC -8)
Session Co-Chairs:
Chan-Byoung Chae, Yonsei University and Korea University and Namyoon Lee, Yonsei University and Korea University
Presentation
Discussion
Resources
No resources available.
Session TP2a
TP2a.1: BLUE Fusion for Multi-Point Localization
Hwanjoon Cho, Namyoon Lee, Korea University, Republic of Korea
TP2a.2: Site-Specific Beam Alignment without Explicit Channel Knowledge via Deep Learning
Jong Woo Kwak, Hanju Yoo, Yonsei university, Republic of Korea; Ian Roberts, University of California, Los Angeles, United States; Chan-Byoung Chae, Yonsei university, Republic of Korea
TP2a.3: A Dataset Similarity Evaluation Framework for Wireless Communication and Sensing
João Morais, Arizona State University, United States; Akshay Malhotra, Shahab Hamidi-Rad, InterDigital Communications, United States; Ahmed Alkhateeb, Arizona State University, United States
TP2a.4: Adaptive People Counting and Localization Based on Meta Learning with WiFi NICs
Jihoon Cha, Korea Advanced Institute of Science and Technology, Republic of Korea; Hwanjin Kim, Purdue University, Republic of Korea; Junil Choi, Korea Advanced Institute of Science and Technology, Republic of Korea
Contacts