Iot

The goal of this elective was to design an IoT product and/or service system out of a wheelchair. To ensure we could design impactful features we decided to specify our target group from wheelchair users to basketball wheelchair users. From there we set out to design an IoT product that would provide both the users and the manufacturers of these wheelchairs with additional value. The final design embeds the wheelchair with 4 types of sensors, an optical encoder, a gyroscope, an RF receiver and a seat pressure matrix. These four sensors allowed us to add 3 additonal smart features to the wheelchair, iTactiX, Exhaustion Detection & Tired.
iTactiX is an feature to improves players tactical play by showing them wether they should take a shot at the basket from there current possition or pass to a specific team mate.
Exhaustion Detection aims to prevent injuried by measuring their exertion through a training and looking for abnomolies.
Tired is a system to detect the wear and tear of the tires. It allows the manufactur to give the players buy advice when their tires are in need of replacemant and is able to offer specifc tires based on their play style.

The goal of this elective was to create a working prototype of an IoT product. As a product, we were given a wheelchair. We specified this to a wheelchair that allows children to become the centre of the party. We envisioned a wheelchair which could control the music similarly to how a DJ could control the music. In this project, we created a working prototype of a wheelchair which could pause, play and skip tracks, adjust the play speed, and high and low pass filters. The input for these controls is based on gestures and postures. For the gestures a adafruit gesture sensor was used. For the postures, several pressure sensors (FSR) were used. The presure from each sensor was used as input for a classifiaction algorithm created through machine learning.