Minput: Enabling Interaction on Small Mobile Devices with High-Precision, Low-Cost, Multipoint Optical Tracking
The mass production of optical mice has made the highly sophisticated sensors on which they rely very inexpensive. Additionally, advances in electronics and optics have yielded sensors that are both small and extremely precise. A generic optical mouse, costing only a few dollars, is capable of capturing and comparing surface images several thousand times per second. Often, this high resolution enables their use on a variety of surfaces - both traditional (e.g., mouse pads, tables) and ad hoc (e.g., palms, pants, bed covers, papers). Vision-based interaction techniques tend to heavily tax even modern mobile device processors and batteries. Fortunately, the optical sensors we employ have dedicated, highly efficient processors that handle most of the computation with negligible power consumption.
Research Team: Chris Harrison, Scott Hudson
Awards: Best Paper Honorable Mention award at CHI 2010
Chris Harrison and Scott E. Hudson. 2010. Minput: enabling interaction on small mobile devices with high-precision, low-cost, multipoint optical tracking. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). Association for Computing Machinery, New York, NY, USA, 1661–1664. DOI:https://doi.org/10.1145/1753326.1753574