H-Activity

Citation Author(s):
Mst Alema
Khatun
Submitted by:
Mst Alema Khatun
Last updated:
Sun, 05/15/2022 - 02:20
DOI:
10.21227/qcfw-k581
Research Article Link:
Deep CNN-LSTM with Self-Attention Model for Human Activity Recognition using Wearable Sensor
License:
Creative Commons Attribution
587 Views
Categories:
Sensors
Keywords:
Human Activity Recognition (HAR), Smartphone sensor data
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Abstract 

This database includes subject-specific daily living activity data obtained from smartphones' inbuilt accelerometer, gyroscope, and linear acceleration sensors.

Instructions: 

Smartphone used: Redmi Note 7 Pro. Inbuild Sensors used: Accelerometer, Gyroscope, and Linear Acceleration Place of the Smartphone:  Right trouser pockets; Ages: All subjects are 20-30 years; No. of activities: Four; sitting/standing, walking, jogging, and running; No. of Subjects= 10

 

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Documentation

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File readme.txt298 bytes

 

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