Robust Computer Vision-Based Detection of Pinching for One and Two-Handed Gesture Input

Andrew D. Wilson
Microsoft Research

We present a computer vision technique to detect when the user brings their thumb and forefinger together (a pinch gesture) for close-range and relatively controlled viewing circumstances. The technique avoids complex and fragile hand tracking algorithms by detecting the hole formed when the thumb and forefinger are touching; this hole is found by simple analysis of the connected components of the background segmented against the hand. Our Thumb and Fore-Finger Interface (TAFFI) demonstrates the technique for cursor control as well as map navigation using one and two-handed interactions.

Wilson, A. D. 2006. Robust computer vision-based detection of pinching for one and two-handed gesture input. In Proceedings of the 19th Annual ACM Symposium on User interface Software and Technology (Montreux, Switzerland, October 15 - 18, 2006). UIST '06. ACM, New York, NY, 255-258