Bluetooth Sensor Data for Gait-Based Person Identification
- Citation Author(s):
- Submitted by:
- Gerrit Maus
- Last updated:
- Fri, 01/27/2023 - 09:39
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The human gait is unique and so is the impact of a walking human on the propagation of wireless signals within a wireless network. Using appropriate pattern recognition techniques, a person can thus be identified just from a time series of Received Signal Strength (RSS) measurements. This dataset holds bidirectional RSS measurements recorded within a mesh network of four Bluetooth sensor devices. During the measurements, a total of 14 subjects walked individually through the setup. A total of more than 10,000 recordings are provided.
All necessary information can be found in the provided README file.