TY - JOUR
T1 - Human-centered design of wearable neuroprostheses and exoskeletons
AU - Contreras-Vidal, Jose L.
AU - Kilicarslan, Atilla
AU - Huang, He
AU - Grossman, Robert G.
N1 - Publisher Copyright:
© Copyright 2015, Association for the Advancement of Artificial Intelligence. All rights reserved.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Human-centered design of wearable robots involves the development of innovative science and technologies that minimize the mismatch between humans' and machines' capabilities, leading to their intuitive integration and confluent interaction. Here, we summarize our human-centered approach to the design of closed-loop brain-machine interfaces powered prostheses and exoskeletons that allow people to act beyond their impaired or diminished physical or sensorimotor capabilities. The goal is to develop multifunctional human-machine interfaces with integrated diagnostic, assistive, and therapeutic functions. Moreover, these complex human-machine systems should be effective, reliable, safe, and engaging and support the patient in performing intended actions with minimal effort and errors with adequate interaction time. To illustrate our approach, we review an example of a user-in-the-loop, patient-centered, noninvasive BMI system to a powered exoskeleton for persons with paraplegia. We conclude with a summary of challenges to the translation of these complex human-machine systems to the end user.
AB - Human-centered design of wearable robots involves the development of innovative science and technologies that minimize the mismatch between humans' and machines' capabilities, leading to their intuitive integration and confluent interaction. Here, we summarize our human-centered approach to the design of closed-loop brain-machine interfaces powered prostheses and exoskeletons that allow people to act beyond their impaired or diminished physical or sensorimotor capabilities. The goal is to develop multifunctional human-machine interfaces with integrated diagnostic, assistive, and therapeutic functions. Moreover, these complex human-machine systems should be effective, reliable, safe, and engaging and support the patient in performing intended actions with minimal effort and errors with adequate interaction time. To illustrate our approach, we review an example of a user-in-the-loop, patient-centered, noninvasive BMI system to a powered exoskeleton for persons with paraplegia. We conclude with a summary of challenges to the translation of these complex human-machine systems to the end user.
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U2 - 10.1609/aimag.v36i4.2613
DO - 10.1609/aimag.v36i4.2613
M3 - Article
AN - SCOPUS:84970039620
SN - 0738-4602
VL - 36
SP - 12
EP - 22
JO - AI Magazine
JF - AI Magazine
IS - 4
ER -