ArticleScientific data2019
A calibrated database of kinematics and EMG of the forearm and hand during activities of daily living.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Real-time visual analytics for in-home medical rehabilitation of stroke patient-systematic review.Medical & biological engineering & computing · 2022Pooled it
- A Systematic Review of EMG Applications for the Characterization of Forearm and Hand Muscle Activity during Activities of Daily Living: Results, Challenges, and Open Issues.Sensors (Basel, Switzerland) · 2021Pooled it
- Article
- A multimodal biomechanics dataset with synchronized kinematics and internal tissue motions during reaching.Scientific data · 2026Article
- ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis.Scientific data · 2026Article
- PhysioMio: bilateral and longitudinal HD-sEMG dataset of 16 hand gestures from 48 stroke patients.Scientific data · 2026Article
- A Kinematic and EMG Dataset for Upper Limb and Hand Movement Analysis in Post-Stroke and Healthy Subjects.Scientific data · 2025Article
- A database of multimodal myography and hand kinematics during realistic daily life activities.Scientific data · 2025Article
- Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-Space.Scientific data · 2025Article
- Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition.Scientific data · 2025Article
- Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements.Scientific data · 2025Article
- Machine learning for hand pose classification from phasic and tonic EMG signals during bimanual activities in virtual reality.Frontiers in neuroscience · 2024Article
- Biomimetic learning of hand gestures in a humanoid robot.Frontiers in human neuroscience · 2024Article
- Coming in handy: CeTI-Age - A comprehensive database of kinematic hand movements across the lifespan.Scientific data · 2023Article
- Electromyography and kinematics data of the hand in activities of daily living with special interest for ergonomics.Scientific data · 2023Article
- Quantifying Hand Strength and Isometric Pinch Individuation Using a Flexible Pressure Sensor Grid.Sensors (Basel, Switzerland) · 2023Article
- HANDdata - first-person dataset including proximity and kinematics measurements from reach-to-grasp actions.Scientific data · 2023Article
- Finger Kinematics during Human Hand Grip and Release.Biomimetics (Basel, Switzerland) · 2023Article
- Forearm sEMG data from young healthy humans during the execution of hand movements.Scientific data · 2023Article
- A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction.Scientific data · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Linking hand kinematics and forearm muscle activity is a challenging and crucial problem for several domains, such as prosthetics, 3D modelling or rehabilitation. To advance in this relationship between hand kinematics and muscle activity, synchronised and well-defined data are needed. However, currently available datasets are scarce, and the presented tasks and data are often limited. This paper presents the KIN-MUS UJI Dataset that contains 572 recordings with anatomical angles and forearm muscle activity of 22 subjects while performing 26 representative activities of daily living. This dataset is, to our knowledge, the biggest currently available hand kinematics and muscle activity dataset to focus on goal-oriented actions. Data were recorded using a CyberGlove instrumented glove and surface EMG electrodes, both properly synchronised. Eighteen hand anatomical angles were obtained from the glove sensors by a validated calibration procedure. Surface EMG activity was recorded from seven representative forearm areas. The statistics verified that data were not affected by the experimental procedures and were similar to the data acquired under real-life conditions.
Indexed as
Identifiers
What OpenQuestion holds
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.