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:
- 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-
Walking
Standing
Upstairs
Downstairs
Running
Sitting
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
