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BitoBody: Real-time human contact detection and dynamic projection system

Published: 11 March 2019 Publication History

Abstract

In this research, we propose a novel human body contact detection and projection system with dynamic mesh collider. We use motion capture camera and generated human 3D models to detect the contact between user's bodies. Since it is difficult to update human mesh collider every frame, a special algorithm that divides body meshes into small pieces of polygons to do collision detection is developed and detected hit information will be dynamically projected according to its magnitude of damage. The maximum deviation of damage projection is about 7.9cm under a 240-fps optitrack motion capture system and 12.0cm under a 30-fps Kinect camera. The proposed system can be used in various sports where bodies come in contact and it allows the audience and players to understand the context easier.

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AH2019: Proceedings of the 10th Augmented Human International Conference 2019
March 2019
301 pages
ISBN:9781450365475
DOI:10.1145/3311823
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 March 2019

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Author Tags

  1. Dynamic projection mapping
  2. Human 3D model Generatrion
  3. Real-time contact detection

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AH2019

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AH2019 Paper Acceptance Rate 26 of 53 submissions, 49%;
Overall Acceptance Rate 121 of 306 submissions, 40%

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