Biomimetic Behavior of IPMC Using EMG Signal for Micro Robot

Jain, Ravi; Datta, Sourav; Majumder, S.

doi:10.1080/15397734.2014.908729

Cited by 13 publications

(5 citation statements)

References 30 publications

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“…(1) Integrated EMG (IEMG). Integral EMG value [24,25] is used to represent the excitation characteristics of muscle fibers in unit time. It is shown that the amplitude of sEMG signal changes with the change of movement time.…”

Section: 22mentioning

confidence: 99%

Application Analysis of Wearable Technology and Equipment Based on Artificial Intelligence in Volleyball

Dai

2021

Mathematical Problems in Engineering

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Today, while people’s satisfaction with materials is high, the pursuit of health has begun and sports are becoming increasingly important. Volleyball is a good physical and mental exercise, which helps improve the health of the body. However, excessive exercise usually leads to muscle strain and more serious accidents. Therefore, how to effectively prevent excessive fatigue and sports injuries becomes more and more important. In the past, some methods of exercise fatigue detection were mostly self-assessment through some indicators, which lacked real-time and accuracy. With the advancement of smart technology, in order to better detect sports fatigue, smart wearable technology and equipment are used in volleyball. Firstly, surface electromyography signals (sEMG) are collected through wearable technology and equipment. Secondly, the signal is preprocessed to extract features that are conducive to exercise fatigue assessment. Finally, a motion fatigue detection algorithm is designed to identify and classify features and evaluate the motion status in real-time. The simulation results show that it is feasible to collect ECG signals and EMG signals to detect exercise fatigue. The algorithm has good recognition performance, can evaluate exercise conditions in real-time, and prevent fatigue and injury during exercise.

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Section: 22mentioning

confidence: 99%

Application Analysis of Wearable Technology and Equipment Based on Artificial Intelligence in Volleyball

Dai

2021

Mathematical Problems in Engineering

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“…Jain et al studied an artificial finger that could perform biomimetic movements using sEMG signals from the index finger. This artificial finger was made of an ion-polymer metal composite material [128].…”

Section: Full-human Continuous Control Strategy (S1)mentioning

confidence: 99%

Review of sEMG for Robot Control: Techniques and Applications

Song,

Yan,

Guo

et al. 2023

Applied Sciences

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Surface electromyography (sEMG) is a promising technology that can capture muscle activation signals to control robots through novel human–machine interfaces (HMIs). This technology has already been applied in scenarios such as prosthetic design, assisted robot control, and rehabilitation training. This article provides an overview of sEMG-based robot control, covering two important aspects: (1) sEMG signal processing and classification methods and (2) robot control strategies and methods based on sEMG. First, the article outlines the general steps in sEMG signal processing and summarizes the commonly used methods for data acquisition, pre-processing, and feature extraction. In addition, machine-learning-based pattern recognition methods have been introduced for sEMG signal classification. Subsequently, user intent-based robot control strategies are classified into three categories: full-human continuous control, semi-autonomous continuous control, and discrete control, and their control methods and applicable scenarios are compared. Finally, this article discusses the advantages, disadvantages, and future development prospects of sEMG-based robot control. This review provides a comprehensive overview of sEMG-based robot control, from signal processing and classification methods to robot control strategies and methods, aiming to guide future research on selecting filters, feature sets, and pattern recognition methods and to assist in establishing sEMG-driven robot control frameworks.

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“…A typical single active finger gripper consists of an IPMC finger and an auxiliary rigid finger [156] . In order to improve the manual maneuverability of the single active finger gripper, Jain et al employed electromyographic (EMG) signals generated by movement of index finger muscles through long tendons to control the deformation of the IPMC finger, which exhibited excellent flexibility and compliance in grasping [157,158] . Some scholars replaced the rigid finger of single active finger gripper with IPMC sensor to enhance the perception and control of the grasping process [159] .…”

Section: Bionic Robotsmentioning

confidence: 99%

A comprehensive survey of ionic polymer metal composite transducers: preparation, performance optimization and applications

2023

Soft Sci

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Ionic polymer metal composite (IPMC) transducers, as one of the typical electroactive polymers with excellent electromechanical coupling properties, have tremendous potential to achieve high-performance actuators and sensors for flexible electronic and soft robotics. In this survey, after briefly describing the energy conversion mechanism of IPMC, we divided the history of IPMC into three stages based on the published papers, and then introduced the preparation technologies of IPMC in detail, which mainly include the selection of ionomer membrane and formation of electrodes. From the point of view of optimization, we summarized and analyzed the performance improvement methods of IPMC and the problems when it is used as actuators and sensors, respectively. The latest and typical applications of IPMC are widely presented as actuators and sensors, such as actuation in robots, grippers, medical and wearable devices, underwater perception and energy harvesting. Moreover, the challenges and opportunities of IPMC were envisioned for future prosperity. This survey will provide an overall general outline for the categorization, mechanism, precursors, and preparation methods of IPMC, which is helpful in facilitating the rapid development and application of IPMC.

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Biomimetic Behavior of IPMC Using EMG Signal for Micro Robot

Cited by 13 publications

References 30 publications

Application Analysis of Wearable Technology and Equipment Based on Artificial Intelligence in Volleyball

Application Analysis of Wearable Technology and Equipment Based on Artificial Intelligence in Volleyball

Review of sEMG for Robot Control: Techniques and Applications

A comprehensive survey of ionic polymer metal composite transducers: preparation, performance optimization and applications

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