Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements
Abstract Upper-limb movement characterization is crucial for many applications, from research on motor control, to the extraction of relevant features for driving active prostheses. While this is usually performed using electrophysiological and/or kinematic measurements only, the collection of tacti...
Saved in:
Main Authors: | Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-025-04552-5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Grasping Variance in Word Norms: Individual Differences in Motor Imagery and Semantic Ratings
by: Emiko J. Muraki, et al.
Published: (2025-01-01) -
Reaching for Epistemic Humility
by: Lyudmila Bryzzheva
Published: (2025-01-01) -
Reaching Diverse Audiences
by: Lisa A. Guion
Published: (2005-09-01) -
Reaching Diverse Audiences
by: Lisa A. Guion
Published: (2005-09-01) -
The utility of Glaucoma Information Cards for grasping glaucoma subtypes: a single-center pilot study
by: Yukinori Yamada, et al.
Published: (2025-02-01)