SpaceRater | Devpost

Inspiration

A love of Augmented Reality, interactivity and space. Maps where people can drop pins of their different feelings in different spaces Open Codes

What it does

Combines Art and technology to record and engage with users experience in a space. We want to not only allow people to record and rate their experiences as they move through a space, but also to connect people to others experiences in that space. This application allows a space owner to:

enter objects in the space (eg. art pieces, product displays)
add a rating across all the objects (eg. feelings, numbers)
see how people move through their space
see how people feel in their space
see other ratings (see how users rated things, and how this correlated to movements, eg. thoughts and feelings as a user moved from one piece to another, compared to other pieces)

So that users of the space can:

see what objects are near them
rate the objects And then other users can:
follow the path of other users through the space (through an augmented reality view of the space)
see other users experiences
add their own

How we built it

Using raspberry pi's we configured them using findme to get smartphone positions in space and also added a pi camera to detect emotions
Wagtail (django/python) is our content management system so the owners of a space can change the ratings and set up different spaces to experience
HTML/CSS/JS for styling and laying out our webpages
AR.js library and A-Frame for the augmented reality visualisation
Database ???
Server ???

Business

While our project is mostly around enhancing experience of spaces and is heavily influenced and prototyped around the open codes exhibit at ZKM, we also believe it could have wider reaching uses in commercial areas. This project could be used in physical store locations, especially around special events, to both engage customers and also track and collect data on the physical set up of the stores.

Challenges we ran into

Ideally we would like to implement an algorithm like SpotFi or WiCapture for higher location accuracy. With this we could make the visualisation more 3D, and users could also have the potential to create more movement in their experience lines. However, we have found that these algorithms may not be as accurate as we hope and difficult to implement over the time period of the hackathon.

We also expanded our team and thus ideas later in the day.

Accomplishments that we're proud of

We aim to learn and have fun throughout this Hackathon. We are looking forward to seeing how much of our overall ideas we can achieve in the time, while forging new friendships across many borders!