A Neuromuscular Interface for Robotic Devices Control

Table 1

Comparison of various myoelectric control devices.

Indicator measured	NI	Fougner et al.,; 2012, [16]	Wurth et al.,; 2014, [17]	Jiang et al.,; 2012, [18]	Hahne et al.,; 2014, [19]	Hahne et al.,; 2016, [4]	Earley et al.,; 2016, [6]
Average recognition accuracy	92.5%	-	96%	>90%	-	~90%	-
Control	Command and proportional	Consistent proportional	Motion pattern recognition. Proportional	Proportional	Proportional	Command and proportional	Motion pattern recognition. Proportional
Classifier	ANN (perceptron)	LDA	LDA	ANN (perceptron)	ANN (perceptron)	Linear regression	LDA
Number of gestures / degrees of freedom (DoF)	9 gestures	5 gestures	2 DoF,; 5 gestures	3 DoF	2 DoF,; 4 gestures	2 DoF,; 4 gestures	8 gestures
Number of EMG channels /sensors	8 for recording + 1 reference	5	6	7 pairs for each forearm	192-channel electrode array in the monopolar configuration	4 for each type of electrode	12 pairs of bipolar electrodes