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CAROUSEL+ Telepresent Dance Reducing Social Distancing

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NeFT-Net: N-window Extended Frequency Transformer for Rhythmic Motion Prediction (2025)
Journal Article
Ademola, A., Sinclair, D., Koniaris, B., Hannah, S., & Mitchell, K. (in press). NeFT-Net: N-window Extended Frequency Transformer for Rhythmic Motion Prediction. Computers and Graphics,

Advancements in prediction of human motion sequences are critical for enabling online virtual reality (VR) users to dance and move in ways that accurately mirror real-world actions, delivering a more immersive and connected experience. However, laten... Read More about NeFT-Net: N-window Extended Frequency Transformer for Rhythmic Motion Prediction.

Audio Occlusion Experiment Data (2025)
Data
McSeveney, S., Tamariz, M., McGregor, I., Koniaris, B., & Mitchell, K. (2025). Audio Occlusion Experiment Data. [Data]

This dataset comprises anonymous user study participant responses of audio occlusion to investigate presence response of body occlusions in the presence of sound sources in the direct path between the person and the audio driver speaker.