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Pervasive Activity Detection with Capacitive Sensing

This paper presents a toolkit for realizing capacitive sensing applications for human-computer interaction in pervasive computing systems. We describe the CapSenseToolkit, a complete toolkit for prototyping and implementing systems for detecting presence of humans and objects and for integrating 3D interaction with everyday objects. This allows to acquire data and develop sophisticated algorithms for e.g. gesture recognition using capacitive sensing. We systematically measured the range, resolution and reliability of the hardware to show possibilities and limitations of capacitive sensing. This hasn’t been done so far. We illustrate the capabilities of the toolkit by presenting several applications realized with the system. In particular we built a table augmented with capacitive sensors to capture activities. An instrumented shelf senses where the user puts his hand and can thus infer what he’s grasping. Adding capacitive sensing capabilities to an ordinary computer keyboard enhances scrolling in documents and switching between screens. By putting sensors on a tablet PC we built an intuitive touchscreen replacement. The complete system, including all hardware and software components, is released as open source.