IoT mini-project Andrea Napoletani, Alessandro Giannetti, Riccardo Pattuglia

1. Activity
Recognition
Alessandro Giannetti
Andrea Napoletani
Riccardo Pattuglia

2. Idea
The goal is to recognize certain types of human physical activities
using acceleration data generated by a Genuino 101 Board and
visualize the collected data on the cloud.

3. Technologies

4. Genuino 101
Genuino 101 Board recognises gestures, and features a six-axis
accelerometer and gyroscope. The Low Energy Bluetooth
connectivity allow it to communicate with an Android device to
share Data and upload it on the Cloud.

5. The core of the genuino 101 is the Intel Curie, a microcontroller
integrating Bluetooth, gyroscope, accelerometer and a Pattern
Matching Engine to implement classification algorithms.

6. Mango Mirror is a smart display platform completely controlled by
smartphone.
View your steps, exercise, weight, nutrition, calendar, weather and
more. Use it to meet your health, fitness and weight-loss goals.
Setup a Personal health display, a family dashboard, a smart display
or a Smart Mirror in minutes.

7. AWS IoT
AWS IoT provides broad and deep functionality, spanning the edge to the
cloud, so you can build IoT solutions for virtually any use case across a
wide range of devices.

8. 1st Step: Train a model for Activity Recognition
Accelerometer
Dataset

9. 2nd step: Predict and Transfer the data to
the cloud through a mobile phone
Activity

10. 3rd step: Visualize the data on mobile phone