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

Embed me on your own site, add the code:

<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