HARSense: Statistical Human Activity Recognition Dataset

Citation Author(s):
Nurul Amin
Choudhury
National Institute of Technology Meghalaya
Soumen
Moulik
National Institute of Technology Meghalaya
Diptendu Sinha
Roy
National Institute of Technology Meghalaya
Submitted by:
Nurul Choudhury
Last updated:
Thu, 07/15/2021 - 08:07
DOI:
10.21227/9pt3-2m34
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Abstract 

Context

This dataset consists of subject wise daily living activity data, which is acquired from the inbuilt accelerometer and gyroscope sensors of the smartphones.

Content

The smartphone was mounted on the waist and front pockets of the users. All the different activities were performed in a laboratory except Running, which was performed on a Football Playground.

Smartphone used: Poco X2 and Samsung Galaxy A32s

Inbuild Sensors used: Accelerometer and Gyroscope

Ages: All subjects are Above 23 years

Weight: All subjects are above 50 kgs

No. of Subjects= 12

The list of different Activities (ADLs) are as follows-WalkingStandingUpstairsDownstairsRunningSitting

Columns Descriptors

AG: Acceleration due to Gravity in x,y and z-axis.Acc: Linear Acceleration in x,y and z-axis.Gravity: Gravity in x,y and z-axis.RR: Rotational rate in x,y and z-axis.RV: Rotational Vector in x,y and z-axis.

Instructions: 

Smartphone used: Poco X2 and Samsung Galaxy A32s Inbuild Sensors used: Accelerometer and Gyroscope Ages: All subjects are Above 23 years Weight: All subjects are above 50 kgs No. of Subjects= 1