20 datasets found

The dataset used for activity recognition using wearable sensors.

The UCI HAR dataset contains data collected from multiple sensors during different activities such as sitting, walking, etc.

The WISDM dataset was collected using Android based smartphones. The data captured with the embedded tri-axial accelerometer was recorded while the users performed 6 different...

The HARUS dataset is a human activity recognition dataset, containing 10,299 signals w.r.t. 6 activities.

The dataset used for activity recognition on smartwatches

The MPII Pose Descriptions Dataset is a dataset created in this paper, containing up to four pose descriptions for each annotated image.

The WISDM activity recognition dataset consists of 36 users performing 6 activities.

Automated monitoring of construction operations, especially operations of equipment and machines, is an essential step toward cost-estimating, and planning of construction...

The dataset used in this study is the UCI HAR dataset, a collection of acceleration and velocity data from a smartphone's gyroscope.

A dataset of videos with multiple sentence descriptions, used for activity recognition and video description tasks.

The imSitu dataset is a large-scale situation recognition dataset, where the task is to predict the different semantic role labels (SRL) in an image.

The Sports-1M dataset is a large-scale video dataset for activity recognition. It contains 600 classes of actions, with 50 hours of video footage.

The TGIF-QA dataset consists of 165165 QA pairs chosen from 71741 animated GIFs. To evaluate the spatiotemporal reasoning ability at the video level, TGIF-QA dataset designs...

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

The HARUSP dataset is a common dataset in the field of human activity recognition. It contains data from six types of activities: walking, man+Activity+Recognition+Using+Sma and...

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...

The dataset used in the paper is a video question answering dataset, which is a large-scale video-language pre-training task.

Text-Video Retrieval (TVR) aims to align relevant video content with natural language queries. To date, most state-of-the-art TVR methods learn image-to-video transfer learning...

A daily activity recognition dataset collected from 30 subjects with different genders, ages, heights, and weights using a smartphone.

The Opportunity Challenge benchmark dataset for on-body sensor-based activity recognition.