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VTT-ConIoT dataset
Human Activity Recognition (HAR) from wearable sensor data identifies movements or activities in unconstrained environments. -
Multi-View Fusion Transformer for Sensor-Based Human Activity Recognition
Sensor-based human activity recognition (HAR) aims to recognize human activities based on the availability of rich time-series data collected from multi-modal sensors such as... -
Human Activity Recognition (HAR), Gas sensor array drift, Isolet, Internet ad...
Human Activity Recognition (HAR), Gas sensor array drift, Isolet, Internet advertisements, Spambase -
UniMiB SHAR
The UniMiB SHAR dataset was created based on collected data from 30 participants using smartphone accelerometer. -
rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition
Human Activity Recognition (HAR) has broad applications in various domains such as healthcare, athletic competitions, smart cities, and smart home. While researchers focus on... -
EmoPain dataset
The EmoPain dataset consists of sequential data from multiple modalities and in unconstrained settings where there are bound to be uncertainties (e.g. in form of sensor noise)... -
Human Activity Recognition using Smartphone
Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. -
Human Activity Recognition Using Smartphones Dataset (UCI HAR)
Human Activity Recognition Using Smartphones Dataset (UCI HAR) includes 3-axial linear acceleration, 3-axial angular velocity, and gyroscope sensor data. -
MobiAct Dataset
The MobiAct dataset contains data collected from 61 subjects performing 11 daily activities. -
HAR dataset
The HAR dataset is a collection of physiological signals from human subjects. -
ActiveMiles
The dataset is used for human activity recognition using smartphone sensor data. -
Human Activity Recognition Dataset
The UCI machine learning repository contains a dataset of human activity recognition from inertial sensors. -
WISDM Dataset
The dataset consists of six activities performed by 29 subjects. These activities include walking, upstairs, downstairs, jogging, upstairs, and standing. -
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices
Human Activity Recognition (HAR) using wearable and mobile sensors has gained momentum in various fields, such as healthcare, surveillance, education, entertainment. The... -
Human Activity Recognition (HAR) dataset
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...
