TY  - CONF
AU  - Štrbac, Matija D.
AU  - Popović, Dejan B.
A4  - Reljin, Branimir
A4  - Stankovic, Srdan
PY  - 2014
DO  - 10.1109/NEUREL.2014.7011491
SN  - 9781479958887
UR  - https://hdl.handle.net/11556/2837
AB  - We present a method for recognizing intended grasp type based on data from the Microsoft Kinect. A computer vision algorithm estimates the vertical and the transversal distance of the hand from the center of the object and the hand orientation from...
LA  - eng
PB  - Institute of Electrical and Electronics Engineers Inc.
TI  - Computer vision with Microsoft Kinect for control of functional electrical stimulation: 												ANN classification of the grasping intentions
TY  - conference output
ER  -