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- research-articleNovember 2023
Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data
- Muhammad Tausif Irshad,
- Frédéric Li,
- Muhammad Adeel Nisar,
- Xinyu Huang,
- Martje Buss,
- Leonie Kloep,
- Corinna Peifer,
- Barbara Kozusznik,
- Anita Pollak,
- Adrian Pyszka,
- Olaf Flak,
- Marcin Grzegorzek
Computers in Biology and Medicine (CBIM), Volume 166, Issue Chttps://doi.org/10.1016/j.compbiomed.2023.107489Abstract Background:Flow experience is a specific positive and affective state that occurs when humans are completely absorbed in an activity and forget everything else. This state can lead to high performance, well-being, and productivity at work. Few ...
Highlights
- Wearables enable unimpeded sensing of physiological data related to flow experience.
- Transfer learning can help improve flow recognition performance using emotion data.
- Flow experience is highly dependent on physiological arousal ...
