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Recognition of Human Gestures for Device Control, Interacting with Virtual…

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
35670
Program Year/Program:
1997 / SBIR
Agency Tracking Number:
35670
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Cybernet Systems Corporation
3885 Research Park Drive Ann Arbor, MI 48108-2247
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1997
Title: Recognition of Human Gestures for Device Control, Interacting with Virtual Worlds, and Interpreting Human Activities
Agency / Branch: DOD / DARPA
Contract: N/A
Award Amount: $98,898.00
 

Abstract:

We propose the development of a system for visually tracking and interpreting human motion for the purpose of controlling devices, interacting with virtual worlds, and interpreting overhead reconnaissance video data. That is, we intend to implement a gesture recognition and device control system. In many application, using gestures for device control is more practical than other forms, such as speech or keyboard, because of a noisy background environment and because many commands are more intuitively represented as gestures. For flexibility and ease of use, the recognition system will not require an enhanced environment of attached data-gloves or beacons. Instead, we will implement a gesture recognition system which performs in a cluttered background environment using standard video and an expensive PC based system. We intend to use the dynamic properties of gestures for real-time recognition, transforming dynamic parameters into reference trajectories used for device control and interaction in virtual worlds. Further, we propose the development of a system which uses the dynamic properties of combinations of gestures for differentiating between humans, animals, and mobile mechanical objects. Such a system would be used to quickly categorize and prune the search space of objects requiring observation during overhead reconnaissance.

Principal Investigator:

Charles Cohen
3136682567

Business Contact:

Small Business Information at Submission:

Cybernet Systems Corp.
727 Airport Blvd. Ann Arbor, MI 48108

EIN/Tax ID: 430924383
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No