During the final week, we focused on editing all of our footage together in After Effects. We brought the different visual stages of the project into one complete sequence, making sure the transitions between the detection, data visualisation, heatmap, calculation process and final classification felt clear and connected.
We also wrote the final project statement, which helped us explain the concept, aim and meaning behind the work more clearly. The statement allowed us to reflect on what the project is about and how it questions the way technology can collect, analyse and categorise human behaviour.
We also added a voice-over to explain the project throughout the video. The voice-over helped guide the viewer through each stage and made the process easier to understand. It explained how the system detects the subject, collects movement data, transforms it into graphs and heatmaps, and finally categorises the person based on the information it has gathered.
This final editing stage helped bring the whole project together. By combining the visuals, text, effects, project statement and voice-over, the project felt more complete and communicated our idea more clearly. The final outcome shows how data can be used to analyse human movement, while also questioning how technology can turn people into measurable information.