17 datasets found

mHealth Dataset includes 3-axial acceleration from the chest sensor, 2 electrocardiogram signals, 3-axial acceleration from the left-ankle sensor, 3-axial acceleration from the...

Skoda Mini Checkpoint Activity Recognition Dataset includes 20 sensors (3-axial acceleration) placed on the left and right upper and lower arm.

Human activity recognition using multiple sensors is a challenging but promising task in recent decades. In this paper, we propose a deep multimodal fusion model for activity...

Human Activity Recognition (HAR) has been the focus of research efforts due to its key role for different ambient assisted living (AAL) domains as well as the increasing demand...

Human Activity Recognition (HAR) has been the focus of research efforts due to its key role for different ambient assisted living (AAL) domains as well as the increasing demand...

Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations...

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

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...

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

A public domain dataset for human activity recognition using smartphones.

Human activity recognition (HAR) is an important research field in ubiquitous computing where the acquisition of large-scale labeled sensor data is tedious, labor-intensive and...

Charades-STA dataset contains 12,408/3720 segment-sentence pairs and 5338/1334 videos in training and test set, respectively.

Violence detection is a section of general action recognition task which specifically focuses on detecting aggressive human behaviors such as fighting, robbery, rioting, etc.

Human activity recognition is a widely investigated problem in the field of computer vision that has diverse applications in human-computer interaction, robotics, surveillance,...

Automatically detecting violence from surveillance footage is a subset of activity recognition that deserves special attention because of its wide applicability in unmanned...

The dataset used for video action classification, consisting of 9.8k training videos, 1.8k validation videos, and 157 classes.

The dataset used in this paper is a Flickr image dataset, which is used to evaluate the proposed deep aesthetic feature learning framework.