Nicole Lai-Tan
Research title: Detecting Affective States based on Human Motion Analysis
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Research title: Detecting Affective States based on Human Motion Analysis
Lai-Tan, N., Philiastides, M. and Deligianni, F. (2024) Fusion of Spatial and Riemannian Features to Enhance Detection of Gait Adaptation Mental States During Rhythmic Auditory Stimulation. In: 12th International Conference on Affective Computing and Intelligent Interaction (ACII 2024), Glasgow, Scotland, UK, 15-18 September 2024, (Accepted for Publication)
Lai-Tan, N., Philiastides, M. G. , Kawsar, F. and Deligianni, F. (2023) Toward personalized music-therapy: a neurocomputational modeling perspective. IEEE Pervasive Computing, (doi: 10.1109/MPRV.2023.3285087) (Early Online Publication)
Lai-Tan, N., Philiastides, M. G. , Kawsar, F. and Deligianni, F. (2023) Toward personalized music-therapy: a neurocomputational modeling perspective. IEEE Pervasive Computing, (doi: 10.1109/MPRV.2023.3285087) (Early Online Publication)
Lai-Tan, N., Philiastides, M. and Deligianni, F. (2024) Fusion of Spatial and Riemannian Features to Enhance Detection of Gait Adaptation Mental States During Rhythmic Auditory Stimulation. In: 12th International Conference on Affective Computing and Intelligent Interaction (ACII 2024), Glasgow, Scotland, UK, 15-18 September 2024, (Accepted for Publication)