Hand Gesture Recognition for Human-Computer Interaction Through Infrared Motion Sensing | ||||
| The International Conference on Electrical Engineering | ||||
| Article 97, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-20 PDF (1.16 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2010.33267 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Jan Adrian Adriano; Jay K Delicana; Enrico Aquino; Karl Jamoralin; Cyrel Ontimare; Christopher Cabael; Noel Linsangan | ||||
| Mapua Institute of Technology, Manila, Philippines. | ||||
| Abstract | ||||
| Abstract: This paper presents a method of computer interaction using the IS-300Pro Precision Motion Tracker. The motion tracker compares the gestures with a defined pattern of movement so that it can be recognized. The method is developed using infrared light emitting diodes (IR LEDs) attached to the thumb and index fingers of two gloves, and the IS-300Pro motion tracker connected to a computer using the USB port. A microcontroller unit (MCU) supporting USB connection is employed for computer interface. Software developed specifically for the application is installed in the computer. The system is able to recognize gestures for alphanumeric characters, as well as user-defined gestures. The software interprets the gestures captured by the motion tracker and translates them to corresponding response hardcoded in the software. Three software programs were developed to demonstrate the capabilities of the system. Experiments show that distance between the sensor and IR LEDs affects the accuracy of gesture recognition and interpretation. | ||||
| Keywords | ||||
| Motion Tracker; Gestures; Infrared; Hardcoded; Gesture Recognition | ||||
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