Open access
Datum
2024-09-09Typ
- Data Collection
ETH Bibliographie
yes
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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. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000638914Beteiligte
Kontaktperson: Ahmadizadeh, Chakaveh
Kontaktperson: Galli, Valeria
Datensammler(in): Ahmadizadeh, Chakaveh
Datensammler(in): Galli, Valeria
Forschungsgruppe: Menon, Carlo
Verlag
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 modelGeographischer Bezug
OrtBalgrist Campus, Zurich
Gesammelt
2023-06Erzeugt
2023-06Thema
wearable sensors, human motion tracking, textile sensorsOrganisationseinheit
09715 - Menon, Carlo / Menon, Carlo
Zugehörige Publikationen und Daten
Is supplement to: https://doi.org/10.3929/ethz-b-000645990
Anmerkungen
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 dataETH Bibliographie
yes
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