Bluetooth Sensor Data for Gait-Based Person Identification
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/bluetooth-sensor-data-gait-based-person-identification
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资源简介：
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 then 10,000 recordings are provided.
提供机构：
Janicke, Stefan; Erşahin, Salih Can; Biyikli, Mustafa; Erten, Arda; Maus, Gerrit
