In the domain of gait recognition, the scarcity of non-simulated, real-world data significantly hampers the performance and applicability of recognition systems. To address this limitation, we present a comprehensive gait recognition dataset - GaitMotion- collected using built-in sensors of Android smartphones in an uncontrolled, real-world environment. This dataset captures the walking activity of 24 subjects (14 females and 10 males) above 18 years old and weighing at least 50 kg.

DOI Link: 
10.21227/maxd-y692
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An Efficient Ensemble Framework for Human Gait Recognition Using CNN-LSTM With Extra Tree Classifier and Smartphone Sensors in R
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[1] Sakshi Singh, Nurul Amin Choudhury, Badal Soni, "Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/maxd-y692. Accessed: Dec. 08, 2024.
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doi = {10.21227/maxd-y692},
url = {http://dx.doi.org/10.21227/maxd-y692},
author = {Sakshi Singh; Nurul Amin Choudhury; Badal Soni },
publisher = {IEEE Dataport},
title = {Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset},
year = {2024} }
TY - DATA
T1 - Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset
AU - Sakshi Singh; Nurul Amin Choudhury; Badal Soni
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Sakshi Singh, Nurul Amin Choudhury, Badal Soni. (2024). Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset. IEEE Dataport. http://dx.doi.org/10.21227/maxd-y692
Sakshi Singh, Nurul Amin Choudhury, Badal Soni, 2024. Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset. Available at: http://dx.doi.org/10.21227/maxd-y692.
Sakshi Singh, Nurul Amin Choudhury, Badal Soni. (2024). "Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset." Web.
1. Sakshi Singh, Nurul Amin Choudhury, Badal Soni. Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/maxd-y692
Sakshi Singh, Nurul Amin Choudhury, Badal Soni. "Gait-Motion: A Smartphone Sensor-based Gait Recognition Dataset." doi: 10.21227/maxd-y692