Wed PM1.L2.3
Semi-Supervised Convolutional Autoencoder With Attention Mechanism for Activity Recognition
Zahra Sadeghi-Adl, Fauzia Ahmad, Temple University, United States
Session:
Wed PM1.L2: Emerging Technologies for Signal Processing for Remote Health Monitoring Lecture
Track:
Special Sessions
Location:
Fennia 1
Presentation Time:
Wed, 6 Sep, 14:40 - 15:00 Finland Time (UTC +3)
Session Co-Chairs:
Yu Rong, Arizona State University and Kumar Vijay Mishra, United States DEVCOM Army Research Laboratory, Adelph
Presentation
Discussion
Resources
No resources available.
Session Wed PM1.L2
Wed PM1.L2.1: Graph based Method for Enhanced Heart Rate Trace Estimation using UWB Impulse Radar
Hui Tang, Xueqin Liu, Wuhan University of Science and Technology, China; Yu Rong, Daniel Bliss, Arizona State University, United States
Wed PM1.L2.2: A NOVEL GRAPH NEURAL NETWORK BASED APPROACH FOR HUMAN ACTIVITY RECOGNITION
Ritesh Chandra Tewari, Patitapaban Palo, Aurobinda Routray, Jhareswar Maiti, Indian Institute of Technology Kharagpur, India
Wed PM1.L2.3: Semi-Supervised Convolutional Autoencoder With Attention Mechanism for Activity Recognition
Zahra Sadeghi-Adl, Fauzia Ahmad, Temple University, United States
Wed PM1.L2.4: Novel Heartbeat Detection Method in Presence of Large-Scale Random Body Movement Using SFCW Radar: A Simulated Study
Yu Rong, Daniel W. Bliss, Arizona State University, United States