Toward a Wireless Wearable System for Bidirectional Human-Machine Interface With Gesture Recognition and Vibration Feedback

Fang, Yun; Guo, Weichao; Sheng, Xinjun

doi:10.1109/jsen.2022.3166184

Cited by 5 publications

(3 citation statements)

References 44 publications

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“…To further enhance the haptic feedback bracelet towards a versatile bidirectional human-machine interface, our objective is to integrate an IMU to gather motion data. While the combination of vibrational feedback with electromyography as well as the combination of vibrational feedback with strain and pressure sensors have already been explored in the past [25][26][27], there was no work covering the combination of vibrotactile feedback and motion sensors such as an IMU. This additional data have the potential to enhance decoding accuracy for intent detection or to control virtual or robotic limbs directly .…”

Section: Objectivesmentioning

confidence: 99%

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

Kindel,

Andreas,

Hou

et al. 2024

MTI

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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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Section: Objectivesmentioning

confidence: 99%

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

Kindel,

Andreas,

Hou

et al. 2024

MTI

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show abstract

“…Table 1 compares recent representative HMI interfaces in terms of their type, flexibility, sensing, and feedback. A variety of HMI interfaces are available, such as electronic skin (e-skin), [30,42,45,65] rings, [58] armbands, [57,66] and gloves. [59] These interfaces are capable of producing effective interaction effects.…”

Section: Comparison and Analysismentioning

confidence: 99%

“…In particular, e-skin [30,42,45,65] has the most extensive application range due to its ability to cover most of the body's skin. Tactile feedback can be delivered using different methods, such as vibration, [42,45,58,59,65,66] heat, [58,59] and electricity. [30,57] Vibration is the most prevalent and instinctive feedback.…”

Section: Comparison and Analysismentioning

confidence: 99%

A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction

Feng,

Lei,

Wang

et al. 2023

Advanced Intelligent Systems

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Human–machine interaction (HMI) establishes an interconnected bridge between humans and robots and plays a significant role in industry and medical fields. However, the conventional interface is bulky and rigid with a single function. It lacks feedback information to be provided to the user, limiting its application scenarios and the ability to complete complex tasks in a dynamic environment. Herein, a flexible bidirectional (FBD) interface with integrated multimodal sensing and haptic feedback and the development of an FBD‐based closed‐loop HMI platform are presented. The proposed FBD interface offers programmable haptic feedback through a coin vibration motor array to endow the user with better performance in missions. The multimodal sensing array can perceive signals of joint movement and the pressure imposed on the skin. In addition, the FBD interface exhibits significant advantages of flexibility and a compact structure. The experimental tests verify that the multimodal sensing module can accurately perceive various static and dynamic movements of a human. Furthermore, the actuation module can provide diverse haptic vibrations to convey different information to the user. Moreover, successful applications in the scenarios of bilateral robotic teleoperation and assistance of disabled people indicate great potential of the FBD interface for broad applications.

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TFN-FICFM: sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion

Hu,

He,

Qian

et al. 2024

J Bionic Eng

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Toward a Wireless Wearable System for Bidirectional Human-Machine Interface With Gesture Recognition and Vibration Feedback

Cited by 5 publications

References 44 publications

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

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

A Flexible Bidirectional Interface with Integrated Multimodal Sensing and Haptic Feedback for Closed‐Loop Human–Machine Interaction

TFN-FICFM: sEMG-Based Gesture Recognition Using Temporal Fusion Network and Fuzzy Integral-based Classifier Fusion

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