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TOM BREWE Hi, My name is Tom. Here you can find a selection of professional and personal projects I have worked on in the last few years. Feel free to contact me for any questions or inquires. I like to work with JavaScript and web technologies to develop and implement all kinds of applications and prototypes. Many of the projects I have been involved in deal with experimental interaction designs, data visualization, VR/XR, graphics programming (2D and 3D) and computer vision. Contact me via mail or at LinkedIn. Find more things I've been working on at github. PROCESS.ANNOTATOR 2015 – 2018 The "process.annotator" is a university research project developed at the Cluster of Excellence "Image Knowledge Gestaltung" at Humboldt University Berlin. It was mainly developed by Anouk Hoffmeister (design, concept) and Tom Brewe (technical implementation, code) with additional hardware prototyping support from Sebastian Zappe. The goal of the project was to explore how to annotate physical objects that also have a digital counterpart, like 3D-scanned museum artefacts. We developed a functional prototype to explore several different annotation methods, including physical annotations with a custom-built bluetooth pen, annotation in VR and by speech input. The app syncs annotations with a CouchDB backend and allows multiple local or remote users to work with the digital/analog-hybrid artefacts and their annotations. Technologies and libraries used: JavaScript, Electron, WebVR, CouchDB/PouchDB, Polymer, Speech-To-Text, Bluetooth Links: Website (HU Berlin) videos: 1 2 3 4 image: 1 REALTIME DATA VISUALIZATIONS 2015 – 2018 In another interdisciplinary research project at HU Berlin I was responsible for the technical implementation of various interaction designs by Friedrich Schmidgall including many data visualizations. One such visualization was for an experiment at the institute, in which office users were wearing hardware beacons (OpenBeacon) for a defined period of time. The low-energy signals of those beacons can be used to triangulate approximate locations of beacons and their users. The video shows a demonstration of the realtime data visualization I developed for this project. Technologies and libraries involved: JavaScript, D3, MongoDB, OpenBeacon MIDIOLA 2015 MIDIOLA is a mobile app that pays homage to music rolls for early 20th century player pianos. With our web-app, digitized music rolls from the collection Deutsches Museum Munich can be played back with your cellphone. Rolls can also be scanned with the smartphone camera to create music on the spot. It is our aim is to put the obsolete medium of the Pianola music roll back on the map. The historic technology should be made accessible to a broader public and be experienced in an audio-visual installation. The software was created by a four person team with a background in coding, design and art history (Luca Beisel, Tom Brewe, Joscha Lausch, Mohammad Moradi). As an entry for the Coding DaVinci 2015 hackathon for open cultural data it won the prize for “Best Design”. Technologies and libraries involved: JavaScript, cordova, Angular, WebAudio Links: Website Award Press Text (FU Berlin) image: 1 2 LINDENMAYER.JS 2015 – 2018 Lindenmayer is a JS-library to create procedual graphics like trees or fractals in the browser. My incentive to write this library was to provide other people and myself with a powerful yet easy to use tool for utilizing L-Systems without restricting the user in the way the results are visualized or used. You can use it to create fractal, procedual 2D & 3D graphics or even sound. Lindenmayer is also used in the aframe-lsystem-component to create procedual graphics in WebVR/XR. Technologies and libraries involved: JavaScript, rollup Links: github A-Frame Blogpost THE DUNESDAY MACHINE 2018 "The Dunesday Machine" is a realtime graphics demo I released 2018 at the Berlin based computer arts and multimedia festival Deadline in the "combined PC intro" competition. It is a 8K JavaScript intro, meaning the complete executable file including music, graphics, camera paths is less than 8 Kilobytes small and works offline without external resources from the internet. In early 2019 it got nominated for the Meteoriks Awards in the category "New Talent". The video shown here is just a recording of the demo/intro. For the realtime rendered version please visit the pouet link below. Technologies involved: JavaScript, WebGL/GLSL, WebAudio, sphere tracing website (pouet) image video SHIFTED DIMENSIONS 2017 Shifted Dimensions is a VR-game created for the js13kGames game jam in 30 days. All entries to the js13kGames competition have to be smaller than 13 kilobytes when zipped. Because of the size limitation detailed models or bigger textures can't be used and would have to be created procedually. In Shifted Dimensions the player's goal is to catch invisible artefacts floating in space around them. Those artefacts can be made visible by using the VR controller as a torch which simultaneously acts as a magnet to pull objects closer to the player. technologies and libraries involved: JavaScript, A-Frame, GLSL Links: website github DYNAMUSEUM 2015-2016 Dynamuseum is a personal project that aimed to enable art enthusiasts to interactively explore artefacts stored in online image databases via a 3D first-person experience. Images are dynamically fetched via the APIs of Europeana, Rijksmuseum or the Victoria and Albert Museum. When standing in front of virtually framed pieces metadata and image descriptions are being displayed to the user. I developed the game-like experience as a web app utilizing the 3D library three.js. technologies and libraries involved: JavaScript, WebGL/three.js Links: vimeo DOCUMAT 2013 – 2015 Documat is a prototype developed at HU Berlin by Anouk Hoffmeister (Design) and Tom Brewe (Code). The goal was to scan, document and tag physical objects with intuitive hand gestures. The prototype featured OCR-Detection and automatic cropping when scanning text pages or book covers. All actions could be performed via basic hand gestures. For hand gesture recognition we used the "Leap Motion" sensor. technologies and hardware involved: Processing (Java), OpenCV, Leap Motion (Hardware) Links: Leap Motion Blogpost Tom Brewe - Berlin 2022 Mastodon