ArticleScientific data2020
Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 35 citations in OpenAlex.
- A Co-Located sEMG-pFMG Dataset for Hand Gesture Recognition Under Varying Arm-Position Conditions.Sensors (Basel, Switzerland) · 2026Article
- Simplifying Prediction of Intended Grasp Type: Accelerometry Performs Comparably to Combined EMG-Accelerometry in Individuals With and Without Amputation.Sensors (Basel, Switzerland) · 2025Article
- Improving Fast EMG Classification for Hand Gesture Recognition: A Comprehensive Analysis of Temporal, Spatial, and Algorithm Configurations for Healthy and Post-Stroke Subjects.Sensors (Basel, Switzerland) · 2025Article
- DIODEM - A Diverse Inertial and Optical Dataset of kinEmatic chain Motion.Scientific data · 2025Article
- Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition.Scientific data · 2025Article
- EMG Dataset for Gesture Recognition with Arm Translation.Scientific data · 2025Article
- The Latest Research Progress on Bionic Artificial Hands: A Systematic Review.Micromachines · 2024Review
- A Semi-Autonomous Hierarchical Control Framework for Prosthetic Hands Inspired by Dual Streams of Human.Biomimetics (Basel, Switzerland) · 2024Article
- Semantic wikis as flexible database interfaces for biomedical applications.Scientific reports · 2023Article
- Finger Movement Recognition via High-Density Electromyography of Intrinsic and Extrinsic Hand Muscles.Scientific data · 2022Article
- Article
- Integrating computer vision to prosthetic hand control with sEMG: Preliminary results in grasp classification.Frontiers in robotics and AI · 2022Article
- Reference in-vitro dataset for inertial-sensor-to-bone alignment applied to the tibiofemoral joint.Scientific data · 2021Article
- Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping.Frontiers in artificial intelligence · 2021Article
- Impact of Shared Control Modalities on Performance and Usability of Semi-autonomous Prostheses.Frontiers in neurorobotics · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors at 6 institutions in 2 countries.
Funding
Abstract
A hand amputation is a highly disabling event, having severe physical and psychological repercussions on a person's life. Despite extensive efforts devoted to restoring the missing functionality via dexterous myoelectric hand prostheses, natural and robust control usable in everyday life is still challenging. Novel techniques have been proposed to overcome the current limitations, among them the fusion of surface electromyography with other sources of contextual information. We present a dataset to investigate the inclusion of eye tracking and first person video to provide more stable intent recognition for prosthetic control. This multimodal dataset contains surface electromyography and accelerometry of the forearm, and gaze, first person video, and inertial measurements of the head recorded from 15 transradial amputees and 30 able-bodied subjects performing grasping tasks. Besides the intended application for upper-limb prosthetics, we also foresee uses for this dataset to study eye-hand coordination in the context of psychophysics, neuroscience, and assistive robotics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.