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This paper presents the development and preliminary validation of a controlinterface based on a sequence matching algorithm. An important challenge in thefield of assistive technology is for users to control high dimensionalitydevices (e.g., assistive robot with several degrees of freedom, or computer)with low dimensionality control interfaces (e.g., a few switches). Sequencematching consists in the recognition of a pattern obtained from a sensor'ssignal compared to a predefined pattern library. The objective is to allow theuser to input several different commands with a low dimensionality interface(e.g., Morse code allowing inputting several letters with a single switch). Inthis paper, the algorithm is used in the context of the control of an assistiverobotic arm and has been adapted to a sip-and-puff interface where short andlong bursts can be detected. Compared to a classic sip-and-puff interface, apreliminary validation with 8 healthy subjects has shown that sequence matchingmakes the control faster, easier and more comfortable. This paper is a proof ofconcept that leads the way towards a more advanced algorithm and the usage ofmore versatile sensors such as inertial measurement units (IMU).

Intuitive sequence matching algorithm applied to a sip-and-puff control interface for robotic assistive devices