基于同步脉冲光源的抗环境红外FTIR多点触摸算法

Synchronized pulsed LED algorithm for ambient infrared noise minimization in FTIR-based multi-touch systems

多点触摸技术已应用在生活的诸多方面,带来了人机交互上的巨大便利。在多种新型的基于视觉的多点触摸技术中FTIR技术是极具潜力的优势技术,但是该技术会受环境红外噪声干扰,不能有效识别日光环境下的手指触点信号。针对环境红外噪声干扰的问题,提出了一种基于同步脉冲光源的相邻帧差算法(SPLA)使得FTIR技术具有良好的抗环境红外噪声的特点,可在日光环境中有效识别手指触点。同时还构建了嵌入同步脉冲光源的多点触摸硬件平台,实现了SPLA算法,并进行了大量的触摸实验。实验结果表明,相比于传统的背景差算法,SPLA算法的触点对比度提高了将近3.5倍,可以准确地识别出触摸点。鉴于硬件实现的通用性,SPLA算法还可应用到其他多点触摸平台,具有较强的可移植性。

The multi-touch technology has been widely used in various aspects of the every-day life, and has brought tremendous convenience during the process of the human-computer interaction. Among many new vision-based implementation methods for the multi-touch function, the frustrated total internal reflection （FFIR） method is one of the most promising one with unique advantages. However, the FTIR- based multi-touch implementation is sensitive to the ambient infrared noise and it currently can only be used in the dark environment. In this paper, a synchronized pulsed LED algorithm was proposed, namely SPLA, which could effectively improve the sensitivity of the Fl＇IR-based multi-touch implementation in the normal ambient lighting environment. Based on the SPLA, a FTIR-based multi-touch platform was implemented . The experimental results show that the proposed SPLA increases the contrast of the blobs （touch points） by 3.5 times compared with the conventional methods. Because of similar hardware structure, the proposed SPLA can be also extended to minimize the ambient noise for other multi-touch implementation methods.