Tracking and Interaction Based on Hybrid Sensing for Virtual Environments
Dongsik Jo, Yong‐Wan Kim, Eunji Cho, Daehwan Kim, Ki Hong Kim, Gil-Haeng Lee · ETRI Journal · 2013
We present a method for tracking and interaction based on hybrid sensing for virtual environments. The proposed method is applied to motion tracking of whole areas, including the user's occlusion space, for a high-precision interaction. For real-time motion tracking surrounding a user, we estimate each joint position in the human body using a combination of a depth sensor and a wand-type physical user interface, which is necessary to convert gyroscope and acceleration values into positional data. Additionally, we construct virtual contents and evaluate the validity of results related to hybrid sensing-based whole-body tracking of human motion methods used to compensate for the occluded areas.