Mobile Sensor Dataset for Human Activity Classification used in Forensics

Citation Author(s):
Sukhada
Aloni
Research Scholar Pacific University
Divya
Shekhawat
Assistant Professor Pacific University
Submitted by:
Sukhada Aloni
Last updated:
Tue, 09/13/2022 - 10:13
DOI:
10.21227/njyt-t438
Data Format:
.*csv
License:
Creative Commons Attribution
813 Views
Categories:
Machine Learning
Keywords:
forensics, Mobile sensor data, Human activity
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Abstract 

Roughly 16 million mobile devices are available with the majority of the population worldwide and this number going to increase exponentially. Many mobile devices do include sensors and hence can be used for other applications rather than mobile gaming. In the present work, we have collected mobile sensor data for 11 classes. Each class of data is gathered with a child or adult person performing different activities during the day or recreating the scenario of different crimes.

Instructions: 

The dataset is having total 11 classes with various recordings available with either 2 or 3 independent repetions.

Comments

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Submitted by Tholkappian R on Mon, 09/19/2022 - 11:28

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Submitted by Nick Daets on Wed, 07/12/2023 - 07:13

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