Feel-Good System
Due to the ongoing Covid-19 pandemic, this project was conducted in remote and virtual spaces. The project group presented a “Feel-Good System” for stress reduction in a home office scenario. The Feel-Good System interprets incoming data, such as vital and emotional information, weather, and doorbell to control an olfactory interface in the Living Place Lab. Depending on the user’s emotional state, the olfactory interface evaporates lemon for an uplifting mood or lavender for a calming mood.
The project was realized by Maryam Abdul-Noor, Natalia Baczkowski, Semih Oeztuerk, Lars Pfau, Isabelle Jedermann, Deniese Kotthoff, Lasse Krugmann, Thorben Kuchel, Kim Fabian Skowronek, Tessa Redlin, NaviShirin Kumar, and Jonas Ningelgen. Supervision by Prof. Dr. Thomas Lehmann and Jessica Broscheit.
This project is part of the elective module at the computer science department, which is available to students from the 5th semester onwards. More Information: https://haw-hamburg.de
Feel-Good System: Conception by Tessa Redlin and NaviShirin Kumar. Sensor Fusion Interface by Lasse Krugmann and Kim Fabian Skowronek.
Architecture Overview
OUTPUT: The olfactory interface controls two different fragrances depending on the user’s emotional state. On the one hand, the interface evaporates lemon for an uplifting mood. On the other hand, the interface evaporates lavender for a calming mood. Implemented by Lars Pfau (hard- and software), Isabelle Jedermann (CAD model), and Deniese Kotthoff (CAD model).
INPUT Emotion recognition face and speech: Implemented by Lasse Krugmann (speech) and Jonas Ningelgen (face).
INPUT FitBit: vital data – NodeRed. Implemented by Thorben Kuchel and Kim Fabian Skowronek.
INPUT Weather and Doorbell: Implemented by Maryam Abdul-Noor, Natalia Baczkowski, and Semih Oeztuerk.
People
