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    谭铭昱, 花浩镪, 熊奇炜, 朱齐, 舒琳, 徐向民, 梁家铭, 魏磊, 黄国志, 曾庆. 基于微电流刺激的多强度分级虚拟触觉反馈[J]. 计算机研究与发展, 2023, 60(9): 2015-2027. DOI: 10.7544/issn1000-1239.202330420
    引用本文: 谭铭昱, 花浩镪, 熊奇炜, 朱齐, 舒琳, 徐向民, 梁家铭, 魏磊, 黄国志, 曾庆. 基于微电流刺激的多强度分级虚拟触觉反馈[J]. 计算机研究与发展, 2023, 60(9): 2015-2027. DOI: 10.7544/issn1000-1239.202330420
    Tan Mingyu, Hua Haoqiang, Xiong Qiwei, Zhu Qi, Shu Lin, Xu Xiangmin, Liang Jiaming, Wei Lei, Huang Guozhi, Zeng Qing. Multi-Intensity Graded Virtual Tactile Feedback Based on Microcurrent Stimulation[J]. Journal of Computer Research and Development, 2023, 60(9): 2015-2027. DOI: 10.7544/issn1000-1239.202330420
    Citation: Tan Mingyu, Hua Haoqiang, Xiong Qiwei, Zhu Qi, Shu Lin, Xu Xiangmin, Liang Jiaming, Wei Lei, Huang Guozhi, Zeng Qing. Multi-Intensity Graded Virtual Tactile Feedback Based on Microcurrent Stimulation[J]. Journal of Computer Research and Development, 2023, 60(9): 2015-2027. DOI: 10.7544/issn1000-1239.202330420

    基于微电流刺激的多强度分级虚拟触觉反馈

    Multi-Intensity Graded Virtual Tactile Feedback Based on Microcurrent Stimulation

    • 摘要: 触觉反馈可以有效提高用户的虚拟现实交互的沉浸感,但是采用振动方式的触觉反馈存在反馈模态单一的缺陷;采用机械传动式、微流驱动方式的触觉反馈存在结构复杂、难以集成等缺陷. 微电流触觉反馈具有集成度高、反馈模态丰富等优点,但是存在反馈强度识别准确率不够和长时间作用下易造成不适感等问题. 为了解决这些问题,设计了基于微电流刺激的新型多强度电触觉反馈系统,通过研究电流参数、电极阵列和接地电极等影响因素,并引入双相电流脉冲,优化电流正负电荷量比值等方式,确定了该系统的刺激模式. 35名受试者的心理物理学实验结果表明该反馈系统能够在有效减少微电流刺激带来不适的同时实现93.3%和81.7%的四级和五级强度识别准确率,优于传统方法,这可能是具有广泛应用场景的触觉反馈设备.

       

      Abstract: Tactile feedback is an essential component of virtual reality systems, as it enhances the user’s immersion and engagement in the virtual environment. However, traditional tactile feedback methods, such as vibration mode, suffer from the limitation of a single feedback mode, while mechanical drive type and microfluidic drive mode is complex in structure and difficult to integrate. Moreover, micro-current tactile feedback offers high integration and rich feedback modalities, but it suffers from issues such as insufficient feedback strength recognition accuracy and discomfort caused by prolonged electrical stimulation. To address these challenges, we develop and design a novel multi-intensity electro-tactile feedback system based on microcurrent stimulation and determine the optimal stimulation paradigm of this system by studying key influencing factors such as stimulation signal parameters, electrode arrays, and grounded electrode, introducing biphasic current pulses, and optimizing the ratio of positive to negative current charge. We evaluate the performance of the system through psychophysical experiments on 35 subjects. The results show that the system achieves 93.3% and 81.7% accuracy in recognizing four and five levels of intensity, respectively, while effectively reducing discomfort caused by micro-current stimulation. This system outperforms traditional methods and has the potential to be a versatile tactile feedback device with wide application scenarios.

       

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