A Crowdsensing-Based Real-Time System for Finger Interactions in Intelligent Transport System

Table 1

Touch detection accuracy rates.

Methods	Types		Frames	Each type’s accuracy	Average accuracy
Song et al.’s method	Bright projection on natural lighting	Correct	49	98.0%	88.0%
		No	1
	Dark projection on natural lighting	Correct	44	88.0%
		No	6
	Bright projection on LED lighting	Correct	44	88.0%
		No	6
	Dark projection on LED lighting	Correct	39	78.0%
		No	11
He and Cheng’s method	Bright projection on natural lighting	Correct	48	96.0%	88.5%
		No	2
	Dark projection on natural lighting	Correct	43	86.0%
		No	7
	Bright projection on LED lighting	Correct	45	90.0%
		No	5
	Dark projection on LED lighting	Correct	41	82.0%
		No	9
The proposed method	Bright projection on natural lighting	Correct	49	98.0%	92.0%
		No	1
	Dark projection on natural lighting	Correct	44	88.0%
		No	6
	Bright projection on LED lighting	Correct	48	96.0%
		No	2
	Dark projection on LED lighting	Correct	43	86.0%
		No	7