English
Related papers

Related papers: Design, Fabrication and Evaluation of a Stretchabl…

200 papers

Surface electromyography is a valid tool to gather muscular contraction signals from intact and amputated subjects. Electromyographic signals can be used to control prosthetic devices in a noninvasive way distinguishing the movements…

Machine Learning · Computer Science 2015-11-25 Francesca Giordaniello

This report details the successful construction of an ultrasound imaging platform and the design and fabrication of a novel ultrasound endoscope probe. The projects primary objective was to establish a functional system for acquiring and…

Medical Physics · Physics 2025-07-25 Yuan Zhang , Mingtong Chen , Zhengbao Yang

There is growing interest in transitioning electronic components and circuitry from stiff and rigid substrates to more flexible and stretchable platforms, such as thin plastics, textiles, and foams. In parallel, the push for more…

Self-positioned nanomembranes such as rolled-up tubes and wrinkled thin films have been potential systems for a variety of applications and basic studies on elastic properties of nanometer-thick systems. Although there is a clear driving…

Mesoscale and Nanoscale Physics · Physics 2014-07-23 Peter Cendula , Angelo Malachias , Christoph Deneke , Suwit Kiravittaya , Oliver G. Schmidt

Multi-channel surface Electromyography (sEMG), also referred to as high-density sEMG (HD-sEMG), plays a crucial role in improving gesture recognition performance for myoelectric control. Pattern recognition models developed based on…

Signal Processing · Electrical Eng. & Systems 2024-10-24 Kasra Laamerad , Mehran Shabanpour , Md. Rabiul Islam , Arash Mohammadi

Hand gesture recognition using multichannel surface electromyography (sEMG) is challenging due to unstable predictions and inefficient time-varying feature enhancement. To overcome the lack of signal based time-varying feature problems, we…

Computer Vision and Pattern Recognition · Computer Science 2025-04-07 Jungpil Shin , Abu Saleh Musa Miah , Sota Konnai , Shu Hoshitaka , Pankoo Kim

Conventional stress monitoring relies on episodic, symptom-focused interventions, missing the need for continuous, accessible, and cost-efficient solutions. State-of-the-art approaches use rigid, silicon-based wearables, which, though…

E-textiles has received tremendous attention in recent years due to the capability of integrating sensors into a garment to provide high precision sensing of the human body. Besides sensing, a number of solutions for e-textile garments have…

Human-Computer Interaction · Computer Science 2021-03-31 Frances Cleary , David Henshall , Sasitharan Balasubramaniam

Soft electronics have recently gathered considerable interest thanks to their bio-mechanical compatibility. An important feature of such deformable conductors is their electrical response to strain. While development of stretchable…

Soft Condensed Matter · Physics 2025-11-14 Louis Martin-Monier , Pierre-Luc Piveteau , Fabien Sorin

Capacitive technology allows building sensors that are small, compact and have high sensitivity. For this reason it has been widely adopted in robotics. In a previous work we presented a compliant skin system based on capacitive technology…

Robotics · Computer Science 2021-06-30 Perla Maiolino , Marco Maggiali , Giorgio Cannata , Giorgio Metta , Lorenzo Natale

Nowadays, microelectronics and nanoelectronics require the search for new materials, including masks for creating structures. Today, the intermediate hard mask strategy is one of the key issues in achieving a good balance between…

Wearable robotics have the capacity to assist stroke survivors in assisting and rehabilitating hand function. Many devices that use surface electromyographic (sEMG) for control rely on extrinsic muscle signals, since sEMG sensors are…

This paper introduces the first generalization and adaptation benchmark using machine learning for evaluating out-of-distribution performance of electromyography (EMG) classification algorithms. The ability of an EMG classifier to handle…

Machine Learning · Computer Science 2024-11-05 Jehan Yang , Maxwell Soh , Vivianna Lieu , Douglas J Weber , Zackory Erickson

In this study, we developed a UV-tape-assisted laser patterning (UT-Laser) technique that enables the simple transfer-based formation of wiring with line widths below 200 $\mu$m onto textile substrates. With the rapid advancement of…

Objective: Surface electromyography (EMG) is a non-invasive sensing modality widely used in biomechanics, rehabilitation, prosthetic control, and human-machine interfaces. Despite decades of use, achieving robust generalization across…

Signal Processing · Electrical Eng. & Systems 2026-01-16 Matteo Fasulo , Giusy Spacone , Thorir Mar Ingolfsson , Yawei Li , Luca Benini , Andrea Cossettini

Surface Electromyography (sEMG/EMG) is to record muscles' electrical activity from a restricted area of the skin by using electrodes. The sEMG-based gesture recognition is extremely sensitive of inter-session and inter-subject variances. We…

Machine Learning · Computer Science 2019-12-02 István Ketykó , Ferenc Kovács , Krisztián Zsolt Varga

Diaphragmatic electromyogram (EMGdi) contains crucial information about human respiration therefore can be used to monitor respiratory condition. Although it is practical to record EMGdi noninvasively and conveniently by placing surface…

Medical Physics · Physics 2024-07-01 Yao Li , Dongsheng Zhao , Haowen Zhao , Xu Zhang , Min Shao

This letter describes the manufacturing and experimental characterization of novel stretchable strain sensors for continuum robots. The overarching goal of this research is to provide a new solution for the shape sensing of these devices.…

Robotics · Computer Science 2025-05-07 Daniel C. Moyer , Wenpeng Wang , Logan S. Karschner , Loris Fichera , Pratap M. Rao

sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet are known to be vulnerable to changing recording conditions, exhibiting significant drops in performance across subjects, and even across…

Machine Learning · Computer Science 2024-01-08 Joao Pereira , Dimitrios Chalatsis , Balint Hodossy , Dario Farina

Soft stretchable materials are key for arising technologies such as stretchable electronics or batteries, smart textiles, biomedical devices, tissue engineering and soft robotics. Recent attempts to design such materials, via e.g.…

‹ Prev 1 3 4 5 6 7 10 Next ›