This dataset contains information of gyroscopes and accelerometer located on forearms meanwhile 5 activivities are performed (Use the computer, Have a phone conversation, Take notes-handwriting, Drink a Beverage and Look at the smartphone). These activities are typical in an office. Sensors collect data during 3 minutes approximately when the person seats down and develops each specific activity. There is a csv file per user-activity-trial which contains records of the 3 minutes activity. There are 230 csv files in total which have information of 7 users, the users 1-4 performed 5 trials each one and users 5-7 performed 1 trial. - The activities are numbered in the csv files and their names as follows: 1. Use the computer 2. Drink a Bever...
Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve ...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
TWristAR is a small three subject dataset recorded using an e4 wristband. Each subject performed s...
This dataset contains information of gyroscopes and accelerometer located on forearms meanwhile 5 ac...
This dataset contains accelerometer data collected by wearing Empatica E4 device. The onboard three...
The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locatio...
<p>This is the data set used in the paper "Free context smartphone based application for motor activ...
Collection of accelerometer and gyroscope data from 32 users through a mobile device. The following...
Dataset for the in-situ study at the office environment, part of the paper "Continuous Identificati...
This dataset describes the data collected from physical activity and indoor location systems. these ...
This data set corresponds to the paper entitled "Fatigue Assessment of Sedentary Office Workers...
PURPOSE: Large physical activity surveillance projects such as the UK Biobank and NHANES are using w...
Collected dataset comprises body position recordings for various persons of diverse profile while pe...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
This dataset is from a study in which we collected smartphone accelerometer and gyroscope data of fo...
Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve ...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
TWristAR is a small three subject dataset recorded using an e4 wristband. Each subject performed s...
This dataset contains information of gyroscopes and accelerometer located on forearms meanwhile 5 ac...
This dataset contains accelerometer data collected by wearing Empatica E4 device. The onboard three...
The dataset is collected from 15 participants wearing 5 Shimmer wearable sensor nodes on the locatio...
<p>This is the data set used in the paper "Free context smartphone based application for motor activ...
Collection of accelerometer and gyroscope data from 32 users through a mobile device. The following...
Dataset for the in-situ study at the office environment, part of the paper "Continuous Identificati...
This dataset describes the data collected from physical activity and indoor location systems. these ...
This data set corresponds to the paper entitled "Fatigue Assessment of Sedentary Office Workers...
PURPOSE: Large physical activity surveillance projects such as the UK Biobank and NHANES are using w...
Collected dataset comprises body position recordings for various persons of diverse profile while pe...
This thesis addresses a systematic study of monitoring human movements by using a single tri-axial a...
This dataset is from a study in which we collected smartphone accelerometer and gyroscope data of fo...
Human Activity Recognition (HAR) is a key component in smart health in that it is valuable to solve ...
Evaluated activity as a detail of the human physical movement has become a leading subject for resea...
TWristAR is a small three subject dataset recorded using an e4 wristband. Each subject performed s...