Immersive augmented reality system for the training of pattern classification control with a myoelectric prosthesis

Table 2 Comparison to recent AR-based first-person perspective systems for myoelectric control

Study	Force feedback	Field of view (°)	Pattern recognition	Number of DOFs	Real prosthesis	Number of subjects (amputees)	Open Source
Nishino et al. [28]	No	23	No	2 + 0	Yes	5 (0)	No
Hunt et al. [29, 31]	No^a	34	No^b	–	No	3 (0)	No
Sharma et al. [32]	No^a	34	Yes, LDA	2 + 2	Yes	3 (0)	No
Palermo et al. [33]	No	34	No^b	2 + 2	No	5 (0)	No
Present work	Yes	110	Yes, LDA	3 + 2	Yes	14 (1)	Yes

^aGrasping force information displayed on an external screen, not available to the subject in AR
^bPre-defined movements recognized by the Myo armband (e.g. “wave in”) mapped to virtual limb movements (e.g. wrist pronation/supination)

ISSN: 1743-0003