Personalising the Training Process with Adaptive Virtual Reality: A Proposed Framework, Challenges, and Opportunities
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-71707-9_32
Reference18 articles.
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4. Dar, M.N., Akram, M.U., Khawaja, S.G., Pujari, A.N.: CNN and LSTM-based emotion charting using physiological signals. Sensors 20(16), 4551 (2020)
5. Guillen-Sanz, H., Checa, D., Miguel-Alonso, I., Bustillo, A.: A systematic review of wearable biosensor usage in immersive virtual reality experiences. Virtual Real. 28(2), 74 (2024). https://doi.org/10.1007/s10055-024-00970-9
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