A Wearable Bidirectional Human–Machine Interface: Merging Motion Capture and Vibrotactile Feedback in a Wireless Bracelet

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Multimodal Technologies and Interaction Pub Date : 2024-05-23 DOI:10.3390/mti8060044
Julian Kindel, Daniel Andreas, Zhongshi Hou, Anany Dwivedi, Philipp Beckerle
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Abstract

Humans interact with the environment through a variety of senses. Touch in particular contributes to a sense of presence, enhancing perceptual experiences, and establishing causal relations between events. Many human–machine interfaces only allow for one-way communication, which does not do justice to the complexity of the interaction. To address this, we developed a bidirectional human–machine interface featuring a bracelet equipped with linear resonant actuators, controlled via a Robot Operating System (ROS) program, to simulate haptic feedback. Further, the wireless interface includes a motion sensor and a sensor to quantify the tightness of the bracelet. Our functional experiments, which compared stimulation with three and five intensity levels, respectively, were performed by four healthy participants in their twenties and thirties. The participants achieved an average accuracy of 88% estimating three vibration intensity levels. While the estimation accuracy for five intensity levels was only 67%, the results indicated a good performance in perceiving relative vibration changes with an accuracy of 82%. The proposed haptic feedback bracelet will facilitate research investigating the benefits of bidirectional human–machine interfaces and the perception of vibrotactile feedback in general by closing the gap for a versatile device that can provide high-density user feedback in combination with sensors for intent detection.
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可穿戴双向人机界面:在无线手镯中融合运动捕捉和振动反馈功能
人类通过各种感官与环境互动。触觉尤其有助于产生存在感,增强感知体验,并在事件之间建立因果关系。许多人机交互界面只能进行单向交流,无法充分体现交互的复杂性。为了解决这个问题,我们开发了一种双向人机界面,其特点是配备了线性谐振致动器的手环,通过机器人操作系统(ROS)程序进行控制,以模拟触觉反馈。此外,无线界面还包括一个运动传感器和一个用于量化手环松紧度的传感器。我们的功能实验分别比较了三种和五种强度级别的刺激,由四名二三十岁的健康参与者进行。参与者对三种振动强度的估计平均准确率为 88%。虽然对五级振动强度的估计准确率仅为 67%,但结果表明他们在感知相对振动变化方面表现出色,准确率达到 82%。所提议的触觉反馈手环将有助于研究双向人机界面的好处以及对振动反馈的总体感知,填补了多功能设备的空白,该设备可提供高密度的用户反馈,并结合传感器进行意图检测。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
期刊最新文献
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