MatchPoint: Spontaneous Spatial Coupling of Body Movement for Touchless Pointing

Christopher Clarke and Hans Gellersen

UIST '17": ACM Symposium on User Interface Software and Technology

Pointing is a fundamental interaction technique where user movement is translated to spatial input on a display. Conventionally, this is based on a rigid configuration of a display coupled with a pointing device that determines the types of movement that can be sensed, and the specific ways users can affect pointer input. Spontaneous spatial coupling is a novel input technique that instead allows any body movement, or movement of tangible objects, to be appropriated for touchless pointing on an ad hoc basis. Pointer acquisition is facilitated by the display presenting graphical objects in motion, to which users can synchronise to define a temporary spatial coupling with the body part or tangible object they used in the process. The technique can be deployed using minimal hardware, as demonstrated by MatchPoint, a generic computer vision-based implementation of the technique that requires only a webcam. We explore the design space of spontaneous spatial coupling, demonstrate the versatility of the technique with application examples, and evaluate MatchPoint performance using a multi-directional pointing task.

Christopher Clarke and Hans Gellersen. 2017. MatchPoint: Spontaneous Spatial Coupling of Body Movement for Touchless Pointing. In Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology (UIST '17). Association for Computing Machinery, New York, NY, USA, 179–192.

 

BibTex

@inproceedings{10.1145/3126594.3126626,
	author = {Clarke, Christopher and Gellersen, Hans},
	title = {MatchPoint: Spontaneous Spatial Coupling of Body Movement for Touchless Pointing},
	year = {2017},
	isbn = {9781450349819},
	publisher = {Association for Computing Machinery},
	address = {New York, NY, USA},
	url = {https://doi.org/10.1145/3126594.3126626},
	doi = {10.1145/3126594.3126626},
	booktitle = {Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology},
	pages = {179–192},
	numpages = {14},
	keywords = {gesture input, input techniques, vison-based interfaces, touchless input, bodily interaction, computer vision, motion-matching, user input, pointing},
	location = {Qu\'{e}bec City, QC, Canada},
	series = {UIST '17}
}