Crowd sensing

In this assignment we will built a mobile application to provide a crowd-sensing extension to our application. We build on-top of the cloud-based and edge-based components developed in the first and second assignments.
Francesco Colasante
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Cloud based

Deploy your activity recognition model to the cloud. Given the data arriving to the cloud, you should execute the model and provide a status for the state of the user either periodically (e.g., every minute / every hour, etc) or whenever new values arrive.

Cloud deployment
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Local deployment

Deploy your activity recognition model to the mobile phone. Given the data collected by the mobile phone, the model should be executed locally to provide a status for the state of the user.

Local deployment