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- W4285126345 abstract "This paper examines the impact of acceleration sensor localization on the performance of gait-based person identification. The novelty of the presented approach is the extension of the study to different types of ground substrates. A publicly available data corpus used in this study included gait cycles acquired using six sensor locations: trunk, right/left thigh, right/left shin, and right wrist. The results of two experiments conducted using the Support-vector machine (SVM) classifier are presented in the study. In the first one, classifiers were trained and validated using gait samples acquired on surfaces such as concrete, grass, cobblestone, slope, and stairs. In the second experiment, training was performed with pavement gait and validated with other substrates samples. For both presented scenarios, a pair of sensors located on the right thigh and right shank achieved the highest average identification rates." @default.
- W4285126345 created "2022-07-14" @default.
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- W4285126345 date "2022-01-01" @default.
- W4285126345 modified "2023-09-30" @default.
- W4285126345 title "Influence of Accelerometer Placement on Biometric Gait Identification" @default.
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- W4285126345 doi "https://doi.org/10.1007/978-3-031-06746-4_25" @default.
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