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- W2529120102 abstract "We present an online decoding method for controlling a powered lower-limb exoskeleton using endogenously generated electroencephalogram (EEG) signals of human users. By performing a series of binary classifications, users control the exoskeleton in three directions: walk front, turn left and turn right. During the first classification phase, the user’s intention to either walk front or change direction is detected. If the user’s intention to change direction is detected, a subsequent classification for turning left or right is performed. Five subjects were able to successfully complete the 3-way navigation task while mounted in the exoskeleton. We report the improved accuracy of our cascaded protocol over a baseline method." @default.
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- W2529120102 date "2016-10-05" @default.
- W2529120102 modified "2023-10-01" @default.
- W2529120102 title "Endogenous Control of Powered Lower-Limb Exoskeleton" @default.
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- W2529120102 doi "https://doi.org/10.1007/978-3-319-46532-6_19" @default.
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