Electrotactile Feedback with Spatial and Mixed Coding for Object Identification and Closed-loop Control of Grasping Force in Myoelectric Prostheses

Chai, Guohong; Briand, Josselin; Su, Shiyong; Sheng, Xinjun; Zhu, Xiangyang

doi:10.1109/embc.2019.8856508

Cited by 15 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the follow-up study, more amputee subjects will be recruited, and a daily-use bidirectional myoelectric hand in-tegrating EMG sensors, pressure and angle sensors [43], embedded electrical micro-stimulator [44] and custom-made multi-electrode array will be tailored for each amputee user in practical use. Based on it, a battery of clinically-relevant experiments (such as, stacking cups test (SCT) and pick and lift test (PLT) [14,15], object size and stiffness recognition [18] and distributed force control (ability to modulate grip force) [18,45], etc.)…”

Section: Implications Limitations and Future Workmentioning

confidence: 99%

Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand

Chai

Wang

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

Self Cite

View full text Add to dashboard Cite

Current myoelectric hands are limited in their ability to provide effective sensory feedback to the users, which highly affects their functionality and utility. Although the sensory information of a myoelectric hand can be acquired with equipped sensors, transforming the sensory signals into effective tactile sensations on users for functional tasks is a largely unsolved challenge. The purpose of this study aims to demonstrate that electrotactile feedback of the grip force improves the sensorimotor control of a myoelectric hand and enables object stiffness recognition. The grip force of a sensorized myoelectric hand was delivered to its users via electrotactile stimulation based on four kinds of typical encoding strategies, including graded (G), linear amplitude (LA), linear frequency (LF), and biomimetic (B) modulation. Object stiffness was encoded with the change of electrotactile sensations triggered by final grip force, as the prosthesis grasped the objects. Ten able-bodied subjects and two transradial amputees were recruited to participate in a dual-task virtual eggs test (VET) and an object stiffness discrimination test (OSDT) to quantify the prosthesis users' ability to handle fragile objects and recognize object stiffnesses, respectively. The quantified results showed that with electrotactile feedback enabled, the four kinds of encoding strategies allowed subjects to better able to handle fragile objects with similar performance, and the subjects were able to differentiate four levels of object stiffness at favorable accuracies (>86%) and high manual efficiency. Strategy LA presented the best stiffness discrimination performance, while strategy B was able to reduce the discrimination time but the discrimination accuracy was not better than the other three strategies. Electrotactile feedback also enhanced prosthesis embodiment and improved the users' confidence in prosthetic control. Outcomes indicate electrotactile feedback can be effectively exploited by the prosthesis users for grip force control and object stiffness recognition, proving the feasibility of functional sensory restoration of myoelectric prostheses equipped with electrotactile feedback.

show abstract

Section: Implications Limitations and Future Workmentioning

confidence: 99%

Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand

Chai

Wang

et al. 2022

IEEE Trans. Neural Syst. Rehabil. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Equally, the participants of Huang et al, (2012) by receiving a stimulaton on forearm, were able to perceive the applied force [44]. Finally, Chai et al, (2019) showed that the electrotactile feedback on the forearm facilitates a discrimination of the size and texture (i.e., hardness and softness) of the target object, and it also assists with differentiation of the applied grasping force [73]. Consequently, these results indicate the potency of electrotactile feedback to improve grasping and handling performance of prostheses' users.…”

Section: Biomedical Applications: Prosthesesmentioning

confidence: 99%

Electrotactile feedback applications for hand and arm interactions: A systematic review, meta-analysis, and future directions

Kourtesis¹,

Argelaguet²,

Vizcay³

et al. 2022

Preprint

View full text Add to dashboard Cite

<div>Haptic feedback is critical in a broad range of human-machine/computer-interaction applications. However, the high cost and low portability/wearability of haptic devices remains an unresolved issue, severely limiting the adoption of this otherwise promising technology. Electrotactile interfaces have the advantage of being more portable and wearable due to its reduced actuators’ size, as well as benefiting from lower power consumption and manufacturing cost. The usages of electrotactile feedback have been explored in human-computer interaction and human machine-interaction for facilitating hand-based interactions in applications such as prosthetics, virtual reality, robotic teleoperation, surface haptics, portable devices, and rehabilitation. This paper presents a systematic review and meta-analysis of electrotactile feedback systems for hand based interactions in the last decade. We categorize the different electrotactile systems according to their type of stimulation and implementation/application. We also present and discuss a quantitative congregation of the findings, so as to offer a high-level overview into the state-of-art and suggest future directions. Electrotactile feedback was successful in rendering and/or augmenting most tactile sensations, eliciting perceptual processes, and improving performance in many scenarios, especially in those where the wearability/portability of the system is important. However, knowledge gaps, technical drawbacks, and methodological limitations were detected, which should be addressed in future studies.</div>

show abstract

“…In the context of the closed loop interaction control with prosthetic hands, the most common usage is the rendering of forces as pressure and sliding feedback. In this regard, the most common feedback design is the modulation of the pulse width [6,48,49], or amplitude [5] to convey them as an increase of the strength of the tactile sensation. Moreover, to represent the sliding velocity of the falling object, such methods also consider the change of active pads, by modulating the time interval between each pad's activation.…”

Section: Forces and Contact Informationmentioning

confidence: 99%

Design and Evaluation of Electrotactile Rendering Effects for Finger-Based Interactions in Virtual Reality

Vizcay

Kourtesis

Argelaguet

et al. 2022

Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology

View full text Add to dashboard Cite

Electrotactile Feedback with Spatial and Mixed Coding for Object Identification and Closed-loop Control of Grasping Force in Myoelectric Prostheses

Cited by 15 publications

References 12 publications

Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand

Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand

Electrotactile feedback applications for hand and arm interactions: A systematic review, meta-analysis, and future directions

Design and Evaluation of Electrotactile Rendering Effects for Finger-Based Interactions in Virtual Reality

Contact Info

Product

Resources

About