Embedded Files
October 21st (Mon), Room: Cascades
Online access (zoom) is available.
13:30 - 13:45 Opening / Organizer talk
13:50 - 14:30 Invited talk (Ryosuke Hori)
-- break (5 min) --
14:35 - 14:55 Kotaro Amaya and Mariko Isogawa. "Adaptive and robust mmWave-Based 3D Human Mesh Estimation for Diverse Poses"
14:55 - 15:15 Takuya Nakabayashi and Hideo Saito. "Multimodal Human Activity Recognition on Edge Devices"
-- break (15 min) --
15:30 - 15:50 Kanyu Chen, Erwin Wu, Daichi Saito, Yichen Peng, Chen-Chieh Liao, Akira Kato, Hideki Koike, and Kai Kunze. "Novel Sensing Methods for Vocal Technique Analysis: Evaluation on Electromyography and Ultrasonography"
15:50 - 16:10 Erwin Wu, Yichen Peng, Rawal Khirodkar, Hideki Koike, and Kris Kitani. "Dual-Modal 3D Human Pose Estimation using Insole Foot Pressure Sensors"
16:10 - 16:30 Dixin Yang and Mariko Isogawa. "Circular and Confocal Non-line-of-sight Imaging with transient sinogram Super Resolution"
16:30-16:40 Closing
Invited Speaker
Ryosuke Hori (Keio Univ. / CMU)
Title: Privacy Preserving Human State Estimation
Abstract: This talk provides an overview of human state estimation and introduces techniques that allow for accurate human state estimation without compromising the privacy in everyday environments. The presentation will cover the structure of human state estimation as a field and explore how privacy can be preserved using pseudo privacy-preserving (P3) data. Four key projects will be introduced, each demonstrating how P3 data can be applied to achieve privacy preserving human state estimation. Through the use of silhouette images, event data, IMU data, and foot pressure sensor data, these projects showcase how human pose, gait, and other states can be accurately estimated while ensuring the privacy of individuals in shared spaces. These foundational techniques hold potential for applications in areas such as sports, healthcare, robotics, and mixed reality.
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