![]() Also, the Human Activity Recognition Trondheim dataset (HARTH) 5 is another dataset composed by accelerometer data related that combines several activities recorded during free living. Most of the available datasets combine both motionless and motion activities or focus on motion activities and falls. ![]() The University of Dhaka (DU) Mobility Dataset (MD) 4 is another available dataset that uses wearable sensors for activities of daily living detection. The SHL 3 dataset is one of the more recent datasets that uses smartphone sensors for HAR during transport. Another popular dataset is the WISDM 2 dataset, that consists of similar activities recorded using a Smartphone. This dataset has three motion and three stationary activities recorded using the smartphone embedded sensors. For example, The Human Activity Recognition Using Smartphones Dataset 1, popularly known as UCI-HAR dataset has been used in many research publications. There are many published datasets that allow researchers to experiment and evaluate their approaches that tackle this problem. ![]() Human activity recognition (HAR) has been one of the most challenging and at the same time most popular problems for scientific research.
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