ermshaua/mobile-sensing-human-activity-data-set
This is the supporting website for the paper "MOSAD – a new data set for mobile sensing of human activities".
This project provides a comprehensive benchmark dataset, MOSAD, and analysis tools for developing Human Activity Recognition (HAR) systems. It takes raw motion data from smartphone sensors as input and evaluates how well different algorithms can automatically segment these recordings into distinct activities. Researchers and data scientists building HAR solutions can use this to train and compare their models.
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Use this if you are a researcher or data scientist developing and evaluating machine learning models to automatically detect human activities from wearable sensor data.
Not ideal if you are looking for a plug-and-play library for immediate deployment of an activity recognition system, as this is a research-focused dataset and benchmark.
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Mar 24, 2023
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