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The objective of this paper is to develop and evaluate a directional vibrotactile feedback interface as a guidance tool for postural adjustments during work. In contrast to the existing active and wearable systems such as exoskeletons, we…

Human-Computer Interaction · Computer Science 2022-05-05 Wansoo Kim , Virginia Ruiz Garate , Juan M. Gandarias , Marta Lorenzini , Arash Ajoudani

Rehabilitation therapies are widely employed to assist people with motor impairments in regaining control over their affected body parts. Nevertheless, factors such as fatigue and low self-efficacy can hinder patient compliance during…

Human-Computer Interaction · Computer Science 2024-03-11 Peixuan Xiong , Yukai Zhang , Nandi Zhang , Shihan Fu , Xin Li , Yadan Zheng , Jinni Zhou , Xiquan Hu , Mingming Fan

The paper addresses the rehabilitation of disabled patients using a lower-limb fully-actuated exoskeleton. We propose a novel numerical method to replan the current step without jeopardizing stability. Stability is evaluated in the light of…

Optimization and Control · Mathematics 2022-09-12 Maxime Brunet , Marine Pétriaux , Florent Di Meglio , Nicolas Petit

Prosthetic hands can be used to support upper-body amputees. Myoelectric prosthesis, one of the externally-powered active prosthesis categories, requires proper processing units in addition to recording electrodes and instrumentation…

Surface electromyography (sEMG) is a popular bio-signal used for controlling prostheses and finger gesture recognition mechanisms. Myoelectric prostheses are costly, and most commercially available sEMG acquisition systems are not suitable…

Exoskeletons for rehabilitation can help enhance motor recovery in individuals suffering from neurological disorders. Precision in movement execution, especially in arm rehabilitation, is crucial to prevent maladaptive plasticity. However,…

Human-Computer Interaction · Computer Science 2024-12-10 Beatrice Luciani , Alessandra Pedrocchi , Peppino Tropea , Agnese Seregni , Francesco Braghin , Marta Gandolla

Visually impaired individuals often require a guide runner to safely participate in outdoor running. However, maintaining synchronized pacing with verbal cues or tethers can be mentally taxing and physically restrictive. Existing solutions…

Human-Computer Interaction · Computer Science 2025-10-17 Yichen Yu , Huan-Song Xu , Ming-Yen Lin

A multitude of individuals across the globe grapple with motor disabilities. Neural prosthetics utilizing Brain-Computer Interface (BCI) technology exhibit promise for improving motor rehabilitation outcomes. The intricate nature of EEG…

Signal Processing · Electrical Eng. & Systems 2025-02-21 Syed Saim Gardezi , Soyiba Jawed , Mahnoor Khan , Muneeba Bukhari , Rizwan Ahmed Khan

Assistive electric-powered wheelchairs (EPWs) have become essential mobility aids for people with disabilities such as amyotrophic lateral sclerosis (ALS), post-stroke hemiplegia, and dementia-related mobility impairment. This work presents…

Robotics · Computer Science 2026-01-07 Md. Anowar Hossain , Mohd. Ehsanul Hoque

Background: Spinal cord injury (SCI) can leave the affected individuals unable to ambulate. Since there are no restorative treatments for SCI, novel approaches such as brain-controlled prostheses have been sought. Our recent studies show…

Human-Computer Interaction · Computer Science 2012-09-11 Christine E. King , Po T. Wang , Luis A. Chui , An H. Do , Zoran Nenadic

This research aims to examine the effects of various vibrotactile feedback techniques on gait (i.e., walking patterns) in virtual reality (VR). Prior studies have demonstrated that gait disturbances in VR users are significant usability…

Human-Computer Interaction · Computer Science 2022-08-05 M. Rasel Mahmud , Michael Stewart , Alberto Cordova , John Quarles

Partial-assistance exoskeletons hold significant potential for gait rehabilitation by promoting active participation during (re)learning of normative walking patterns. Typically, the control of interaction torques in partial-assistance…

Passive elastic elements can contribute to stability, energetic efficiency, and impact absorption in both biological and robotic systems. They also add dynamical complexity which makes them more challenging to model and control. The impact…

Robotics · Computer Science 2019-09-30 Ali Marjaninejad , Jie Tan , Francisco J. Valero-Cuevas

Rehabilitation aims to help patients with limited mobility regain their physical abilities through targeted movements, exercises, stimulation, and other therapeutic methods. Recent advances in technology have introduced sensor-based systems…

Physical interaction between individuals plays an important role in human motor learning and performance during shared tasks. Using robotic devices, researchers have studied the effects of dyadic haptic interaction mostly focusing on the…

Robotics · Computer Science 2023-07-24 Emek Barış Küçüktabak , Yue Wen , Matthew Short , Efe Demirbaş , Kevin Lynch , Jose Pons

Multimodal physiological signals, such as EEG, ECG, EOG, and EMG, are crucial for healthcare and brain-computer interfaces. While existing methods rely on specialized architectures and dataset-specific fusion strategies, they struggle to…

Signal Processing · Electrical Eng. & Systems 2026-03-18 Wei-Bang Jiang , Xi Fu , Yi Ding , Cuntai Guan

Embodiment of users within robotic systems has been explored in human-robot interaction, most often in telepresence and teleoperation. In these applications, synchronized visuomotor feedback can evoke a sense of body ownership and agency,…

Robot-assisted dressing has the potential to significantly improve the lives of individuals with mobility impairments. To ensure an effective and comfortable dressing experience, the robot must be able to handle challenging deformable…

Robotics · Computer Science 2025-09-17 Alexis Yihong Hao , Yufei Wang , Navin Sriram Ravie , Bharath Hegde , David Held , Zackory Erickson

Human pose, action, and motion generation are critical for applications in digital humans, character animation, and humanoid robotics. However, many existing methods struggle to produce physically plausible movements that are consistent…

Computer Vision and Pattern Recognition · Computer Science 2025-07-16 Zixi Kang , Xinghan Wang , Yadong Mu

Functional Electrical Stimulation (FES) is a technique to evoke muscle contraction through low-energy electrical signals. FES can animate paralysed limbs. Yet, an open challenge remains on how to apply FES to achieve desired movements. This…

Machine Learning · Computer Science 2022-09-19 Nat Wannawas , Ali Shafti , A. Aldo Faisal
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