Fabdepth HMI is designed for hand gesture detection for Human Machine Interaction. It contains total of 8 gestures performed by 150 different individuals. These individuals range from toddlers to senior citizens which adds diversity in this dataset. These gestures are available in 3 different formats namely resized, foreground=-background separated and depth estimated images. Additional aspect is added in terms of video format of 150 samples. Researchers may choose their combination of data modalities based on their application.

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Subscribe now or login.

[1] Rameez Shamalik, "FabDepth HMI", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/ek5d-r453. Accessed: Jun. 14, 2024.
@data{ek5d-r453-23,
doi = {10.21227/ek5d-r453},
url = {http://dx.doi.org/10.21227/ek5d-r453},
author = {Rameez Shamalik },
publisher = {IEEE Dataport},
title = {FabDepth HMI},
year = {2023} }
TY - DATA
T1 - FabDepth HMI
AU - Rameez Shamalik
PY - 2023
PB - IEEE Dataport
UR - 10.21227/ek5d-r453
ER -
Rameez Shamalik. (2023). FabDepth HMI. IEEE Dataport. http://dx.doi.org/10.21227/ek5d-r453
Rameez Shamalik, 2023. FabDepth HMI. Available at: http://dx.doi.org/10.21227/ek5d-r453.
Rameez Shamalik. (2023). "FabDepth HMI." Web.
1. Rameez Shamalik. FabDepth HMI [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/ek5d-r453
Rameez Shamalik. "FabDepth HMI." doi: 10.21227/ek5d-r453