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When facing with the mid-air interactive tasks in a wide range, the laser spot motion sensing technique can be as a information input mode of human-computer interaction(HCI). This paper explores the use of optical mouse sensors for building a laser spot tracking system, which can be used as a motion-based HCI device. Our work is focused on the characterization of the laser speckle sensing by optical mouse sensors. Based on the laser speckle displacement measurement capability of optical mouse sensors, we demonstrate that the low-cost optical mouse sensor can be used to record the motion of laser spot as a precise, fast and compact sensing method. To make a prototype system for demonstration, we describe a kind of deployment method for building optical mouse sensor array and propose a weighted method to fuse the raw data of multi-optical mouse sensor array. In experimental testing, the ISO standard tests for HCI input device were used for evaluating the efficiency of HCI input by optical mouse sensor-based laser spot tracking. A paradigm that using laser pointer and our laser spot tracking system to complete the dynamic hand gesture recognition task is also given in this paper.

Recently, Optical-flow sensors commonly used as a PC input device have been explored in robot localization. One common difficulty is that ground-height variations in mobile robot moving can inevitably deteriorate the sensing performance of optical-flow sensors when used in a trivial fashion. In this paper, a novel deployment configuration is presented to build an optical-flow sensor array for robot localization, which is advantageous in the robustness to ground-height variation. In addition, the imaging capability of optical mouse sensors is exploited in developing a beacon based calibration approach for eliminating accumulative errors. The experimental results are reported to validate the proposed method.