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Accelerometer Data Analysis
This AI bot is recommended for anyone involved in the Internet of Things project. It helps to identify human activity by analysing measurements from a chest-mounted accelerometer. The neural network has been trained using about 2 million instances of measures from [1].
As output labels, the bot can detect any of following activity:
- Working at Computer
- Standing Up
- Walking and Going Up/Downstairs
- Walking
- Going UpDown Stairs
- Walking and Talking with Someone
- Talking while Standing
The following inputs are needed:
- X acceleration
- Y acceleration
- Z acceleration
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<iframe style="max-width: 100% !important; border: none; height:150px" width="560" src="https://hailp.com/api/main/loadwidget/472/parent/csvbulk"></iframe>
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Credit: Data from Casale, P. Pujol, O. and Radeva, P. Personalization and user verification in wearable systems using biometric walking patterns, Personal and Ubiquitous Computing, 16(5), 563-580, 2012
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