Sensory feedback in artificial control of human mobility.
Artificial motor control systems may reduce the handicap of motor impaired individuals. Sensors are essential components in feedback control of these systems and in the information exchange with the user. The objective of this paper is to give an overview of the applications of sensors in the artificial control of human mobility. These applications may either require an accurate estimate of the measured physical quantities or can be based on learning the relation between sensory information and control actions by example. Actual use of sensors in artificial motor control systems requires that the user experienced complexity of the system is not increased, while improving the repeatable and flexible functioning of the system. Therefore, the sensors need to be integrated with the mechanical part of the artificial support system or implanted, the information exchange between sensor and controller should be wireless and automatic in-use calibration is a desired feature.
Veltink
P H
PH
Institute for Biomedical Technology (BMTI)/Signals and systems group, Faculty of Electrical Engineering, University of Twente, Enschede, The Netherlands. P.H.Veltink@el.utwente.nl
D001185:Artificial Intelligence; D001676:Biofeedback, Psychology / Q000295:instrumentation*; D001696:Biomechanical Phenomena; D015374:Biosensing Techniques; D004599:Electric Stimulation Therapy / Q000295:instrumentation / Q000379:methods*; D006801:Humans; D009068:Movement / Q000502:physiology*; D011474:Prosthesis Design; D013119:Spinal Cord Injuries / Q000534:rehabilitation; D013597:Systems Analysis; D013813:Therapy, Computer-Assisted / Q000379:methods