Open access
Date
2024-09-09Type
- Data Collection
ETH Bibliography
yes
Altmetrics
Abstract
This data was collected from a set of textile capacitive sensors positioned on a knee sleeve above the knee and in contact with the skin (the body is used as one of two electrodes of each capacitive sensors). The data was used to predict joint angles (in this case, the knee sagittal angle) from the sensors response. Ground truth values for the angle are derived from optical motion capture. A single healthy participant performed two different movements each while wearing the sensorized knee sleeve and optical markers for simultaneous optical motion tracking. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000638914Contributors
Contact person: Ahmadizadeh, Chakaveh
Contact person: Galli, Valeria
Data collector: Ahmadizadeh, Chakaveh
Data collector: Galli, Valeria
Research group: Menon, Carlo
Publisher
ETH ZurichSoftware
The raw data from OMC wwas processed using Vicon Nexus 2.12 software – Woltring filtering was applied on trajectories before the processing of the Plug-in Gait modelGeographic location
Place nameBalgrist Campus, Zurich
Date collected
2023-06Date created
2023-06Subject
wearable sensors, human motion tracking, textile sensorsOrganisational unit
09715 - Menon, Carlo / Menon, Carlo
Related publications and datasets
Is supplement to: https://doi.org/10.3929/ethz-b-000645990
Notes
data structured as follows:
- LCR: raw data from LCR meter with impedance magnitude and phase, capacitance and resistance of the sensors (.tsv text files)
- OMC: sagittal, frontal and lateral knee angle (.mat files) from processing of raw OMC dataMore
Show all metadata
ETH Bibliography
yes
Altmetrics