Embodied Interaction

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Date/Time: 30 November 2017, 02:20pm - 03:20pm
Venue: BHIRAJ Hall 3 - Experience Hall (Emerging Technologies Talk)
Location: Bangkok Int'l Trade & Exhibition Centre (BITEC)


Tangible UI by Object and Material Classification with Radar

Summary: RadarCat is an approach to material and object classification employing radar signals and machine learning. This classification affords new forms of interaction with digital devices and proximate objects.

Speaker(s): Hui-Shyong Yeo


Computational Foresight: Realtime Forecast of Human Body Motion

Summary: We propose a machine learning-based system named “Comuputational Foresight” that can forecast body motion 0.5 seconds before. In our buse, you can experience that your motion is forecated in real-time in several motion.

Speaker(s): Yuuki Horiuchi


Telewheelchair: A Demonstration of the Intelligent Electric Wheelchair System towards Human-Machine

Summary: We introduce the novel telepresence system that using the wheelchair and virtual reality system. We also installed an environment recognition function by SLAM and YOLO to grasp the surrounding situation and to detect obstacles and pedestrians.

Speaker(s): Satoshi Hashizume, Ippei Suzuki, Kazuki Takazawa, Yoshikuni Hashimoto, Ryuichiro Sasaki, Yoichi Ochiai


EgoScanning: Quickly Scanning First-Person Videos with Egocentric Elastic Timelines

Summary: We propose a novel video browsing interface called EgoScanning. This interface is featured by an elastic timeline that adaptively changes playback speeds and emphasizes egocentric cues specific to first-person videos, such as hand manipulations, moving, and conversations with people, based on computer-vision techniques.

Speaker(s): Keita Higuchi