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Restoring hand motion to people experiencing amputation, paralysis, and stroke is a critical area of research and development. While electrode-based systems that use input from the brain or muscle have proven successful, these systems tend to be expensive and di¨cult to learn. One group of researchers is exploring the use of augmented reality (AR) as a new way of controlling hand prostheses. A camera mounted on eyeglasses tracks LEDs on a prosthetic to execute opening and closing commands using one of two different AR systems. One system uses a rectangular command window to control motion: crossing horizontally signals “open” along one direction and “close” in the opposite direction. The second system uses a circular command window: once control is enabled, gripping strength can be controlled by the direction of head motion. While the visual system remains to be tested with patients, its low cost, ease of use, and lack of electrodes make the device a promising solution for restoring hand motion.
In the field of neuroprosthetics, the current state-of-the-art method involves controlling the prosthesis with electromyography (EMG) or electrooculography/electroencephalography (EOG/EEG). However, these systems are both expensive and time consuming to calibrate, susceptible to interference, and require a lengthy learning phase by the patient. Therefore, it is an open challenge to design more robust systems that are suitable for everyday use and meet the needs of patients. In this paper, we present a new concept of complete visual control for a prosthesis, an exoskeleton or another end effector using augmented reality (AR) glasses presented for the first time in a proof-of-concept study. By using AR glasses equipped with a monocular camera, a marker attached to the prosthesis is tracked. Minimal relative movements of the head with respect to the prosthesis are registered by tracking and used for control. Two possible control mechanisms including visual feedback are presented and implemented for both a motorized hand orthosis and a motorized hand prosthesis. Since the grasping process is mainly controlled by vision, the proposed approach appears to be natural and intuitive.
An der Offenburger Hochschule wurde eine neue Art der Ansteuerungsmethode für Handprothesen und -orthesen entwickelt, die auf der Verwendung einer Augmented Reality Brille basiert. Dieses neue Prothesensystem soll in einer ersten Studie an Probanden auf seine Alltagstauglichkeit getestet werden. Ziel dieser Arbeit ist es, die regulatorischen Anforderungen an eine solche Studie zusammenzustellen, mit Schwerpunkt auf einem Antrag bei einer Ethikkommission. Außerdem sind mittels Literaturrecherche Tests zu identifizieren und zu analysieren, die für die Beurteilung von Handprothesen verwendet werden. Hierfür wird erörtert was Alltagstauglichkeit bedeutet und welche Eigenschaften und Ziele identifizierte Tests haben.