Abstract

Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.

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