Results 61 to 70 of about 180,366 (346)

Pattern recognition and bionic manipulator driving by surface electromyography signals using convolutional neural network

International Journal of Advanced Robotic Systems, 2018
With the development of robotics, intelligent neuroprosthesis for amputees is more concerned. Research of robot controlling based on electrocardiogram, electromyography, and electroencephalogram is a hot spot.
Yuanfang Wan, Zishan Han, Jun Zhong, Guohua Chen   +3 more
doaj   +1 more source

Electromyographic examination in temporomandibular disorders – evaluation protocol.

Brazilian Journal of Oral Sciences, 2015
Surface electromyography has been a useful tool for physicians and investigators to evaluate and diagnose temporomandibular disorders, to examine the role of masticatory muscles in specific tasks, and to verify the effect of therapeutic resources in ...
Cristiane Rodrigues Pedroni, Cynthia Bicalho Borini, Fausto Bérzin   +2 more
doaj   +1 more source

How Grip Variation Effects Shoulder Complex Muscle Activation During the Pull-Up [PDF]

, 2020
Pull-ups are a common training exercise essential for muscle growth in resistance-based training workouts and workout programs. The purpose of this study was to determine the impact of different pull-up grips on muscle activation in six college aged ...
Koehler, J.D.
core   +1 more source

Vision‐Augmented Wearable Interfaces: Bioinspired Approaches for Realistic AI‐Human‐Machine Interaction

Advanced Materials Technologies, EarlyView.
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee, Gwuidong Ryu, Kisoo Kim, Feng Xu, Won Gu Lee   +4 more
wiley   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

An attempt to objectively evaluate ASMR

Kagaku, gijutsu kenkyu
Autonomous sensory meridian response (ASMR) is a self-reported sensory phenomenon, in which people experience a tingling sensation across the scalp and back of the neck in response to specific triggering stimuli.
Momoka Imada, Ayu Nishiaki, Yuki Honda, Hitomi Tsuchiya, Mai Wajiki, Masato Kawamoto, Koichi Yoshimura   +6 more
doaj   +1 more source

A Multidirectional Textile Interface for Remote Control Using Dynamic Area‐Based Capacitance Modulation

Advanced Robotics Research, EarlyView.
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus, Fulya Yenilmez, Kadir Ozlem, Hakan Kestir, Eren Tasdemir, Berkant Bakisli, Gökhan Ince, Ozgur Atalay, Asli Tuncay Atalay   +8 more
wiley   +1 more source

Comparison of the inter-recti distance in nulliparous women measured in supine and standing positions using ultrasound imaging

Scientific Reports
In physiotherapy for pregnancy-related diastasis recti abdominis, the inter-recti distance (IRD) measurement using ultrasound imaging is typically performed with the patient in supine position.
Magdalena Rudek-Zeprzałka, Agnieszka Opala-Berdzik, Maciej Cebula, Katarzyna Gruszczyńska, Jagoda Bilewicz, Daria Chmielewska   +5 more
doaj   +1 more source

Uterine electromyography: a better modality to detect preterm contractions? [PDF]

, 2021
Deepika Sagaram, E Lund, Julia Knypinski, Kavita Vani, Haotian Wu, Peter S. Bernstein   +5 more
openalex   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source