Laboratoire d'Automatique et de Robotique interactive, Université du Québec à Chicoutimi, Québec, Canada
LAR.i - UQAC, 16 août 2022
This dataset presents sensor's signal acquired for foot gesture recognition.
This dataset was created after an ethic approbation (Research Ethic Board) at UQAC under the number 2022-837.
The dataset is composed of 5 participants. For each participant, a set of 11 classes is presented. For each classes, one .csv files are included and are composed of 13 column. Each colum refers to a signal acquisition described in the following list :
gesture_participant_X_GY etZ.tab
X: Participant Identification
Y: Gesture number
Z: Trial number
See gesture dictionary (type and description) in:
Tchane Djogdom, G.V., Otis, M.JD. & Meziane, R. Dynamic time warping–based feature selection method for foot gesture cobot operation mode selection. Int J Adv Manuf Technol 126, 4521–4541 (2023). https://doi.org/10.1007/s00170-023-11280-w
See video (real time application): Sharing_pHRI_iCDPM_RamyMeziane.mp4
Gesture crushing a cigarette (8 participants):
Part X et Z.mat
X: Participant identification
Z: Trial number
- AccX -------- Accelaration on X axis
- AccY -------- Accelaration on Y axis
- AccZ -------- Accelaration on Z axis
- P -------- Euler angle Pitch
- R -------- Euler angle Roll
- Y -------- Euler angle Yaw
- FSR1 -------- Force sensor in forefoot (left side)
- FSR2 -------- Force sensor in forefoot (right side)
- FSR3 -------- Force sensor in heel or rearfoot (left side)
- FSR4 -------- Force sensor in heel or rearfoot (right side)
- GyX -------- Gyroscope on X axis
- GyY -------- Gyroscope on Y axis
- GyZ -------- Gyroscope on Z axis