Finger-mounted accelerometer data enables 88% accurate classification of seven materials via linear sparse logistic regression under controlled touch conditions.
Interventions for sensory impairment in the upper limb after stroke.,
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Accurate decoding of materials using a finger mounted accelerometer
Finger-mounted accelerometer data enables 88% accurate classification of seven materials via linear sparse logistic regression under controlled touch conditions.