Collected dataset comprises body position recordings for various persons of diverse profile while performing six physical activities. The values include: - Cod_pat is the unique code for each person; - Time is the timestamp; - Ax, Ay, Az represent the axis of the acceleration; - Mx, My, Mz represent the axis of the magnetometer; - Ch is the compass heading; - Label is the Class that provide the activity of the person
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
Several research studies have investigated the human activity recognition (HAR) domain to detect and...
We introduce statistical methods for predicting the types of human activity at sub-second resolution...
The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locatio...
The MEx Multi-modal Exercise dataset contains data of 7 different physiotherapy exercises, performed...
We introduce a statistical method for predicting the types of human activity at the sub-second resol...
This dataset contains information of gyroscopes and accelerometer located on forearms meanwhile 5 ac...
The article presents University of Idaho-Physical Rehabilitation Movement Data (UI-PRMD), a publical...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
The MEx Multi-modal Exercise dataset contains data of 7 different physiotherapy exercises, performed...
OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data ...
Human-centered computing is an emerging research field that aims to understand human behavior and in...
Thousands of people around the globe are limited in their daily activities due to physical or mental...
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 part...
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
Several research studies have investigated the human activity recognition (HAR) domain to detect and...
We introduce statistical methods for predicting the types of human activity at sub-second resolution...
The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locatio...
The MEx Multi-modal Exercise dataset contains data of 7 different physiotherapy exercises, performed...
We introduce a statistical method for predicting the types of human activity at the sub-second resol...
This dataset contains information of gyroscopes and accelerometer located on forearms meanwhile 5 ac...
The article presents University of Idaho-Physical Rehabilitation Movement Data (UI-PRMD), a publical...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
The MEx Multi-modal Exercise dataset contains data of 7 different physiotherapy exercises, performed...
OverviewBiomechanics dataset of human subjects (N=1798) walking and or running on a treadmill. Data ...
Human-centered computing is an emerging research field that aims to understand human behavior and in...
Thousands of people around the globe are limited in their daily activities due to physical or mental...
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
This dataset contains Axivity AX3 wrist-worn activity tracker data that were collected from 151 part...
This data set divided in two sub categories: Inertial sensors data and ECG data. Inertial data compr...
Several research studies have investigated the human activity recognition (HAR) domain to detect and...
We introduce statistical methods for predicting the types of human activity at sub-second resolution...