37 datasets found

Human Activity Recognition (HAR) using wearable and mobile sensors has gained momentum in various fields, such as healthcare, surveillance, education, entertainment. The...

The dataset used in this paper is a multiclass classification task where the goal is to correctly predict which of the 7 activities is being performed by the user. The...

UCF 101 dataset is a set of 13,320 human activity videos, each belonging to one of 101 different categories.

Human activity recognition is an emerging and important area in computer vision which seeks to determine the activity an individual or group of individuals are performing.

The dataset used in the paper is a large unstructured industrial dataset.

RGB-D action and gesture recognition remains an interesting topic in human-centered scene understanding, primarily due to the multiple granularities and large variation in human...

USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors.

Human Activity Recognition (HAR) datasets used in the paper for Federated Learning and Federated Unlearning.

Human Activity Recognition (HAR) datasets used in the paper for Federated Learning and Federated Unlearning.

Activity recognition has become a popular research branch in the field of pervasive computing in recent years. A large number of experiments can be obtained that activity...

Smartphone HAR is a human activity recognition dataset containing 30 volunteers simulating six activities.

A dataset for human activity recognition using wearable devices.

Human Activity Recognition on mobile devices using a realistic heterogeneous setting with four different public datasets.

Motion has shown to be useful for video understanding, where motion is typically represented by optical flow. However, computing flow from video frames is very time-consuming....

Human Activity Recognition (HAR) is an essential field within Human-Computer Interaction, ubiquitous computing [Ma et al., 2019], and the Internet of Things [Abdallah et al.,...

Human Activity Recognition (HAR) is an essential field within Human-Computer Interaction, ubiquitous computing [Ma et al., 2019], and the Internet of Things [Abdallah et al.,...

The UCF101 dataset contains 13320 videos distributed in 101 action categories. This dataset is different from the above ones in that it contains mostly coarse sports activities...