Optical Fiber Force Myography Sensor for Identification of Hand Postures

Table 3

Comparison of several techniques for assessing the hand postures.

Ref.	Type	Sensors	Postures	Performance
This	FMG	3 OFS	9 postures, including finger and wrist flexion	99.7% accuracy
[36]	sEMG	2 electrodes	Up to 16 hang postures, including finger and wrist flexion	85% accuracy
[37]	sEMG	5 electrodes; 1 accelerometer	18 postures including dynamic gestures and circular movements	97.6% accuracy
[18]	sEMG	10 electrodes	5 finger flexion and thumb abduction	10–20% nRMSE
[18]	FMG	6 FSR	5 finger flexion and thumb abduction	10–20% nRMSE
[19]	FMG	8 FSR	6 gestures including grasp, elbow flexion, and wrist rotation	92.33% accuracy
[12]	FMG	32 FSR	17 combinations of finger flexion	>99% accuracy
[25]	FMG	4 OFS	11 postures for identification of finger flexion	89.9% accuracy