Meditation accuracy detection system using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15273-5.pdf
Reference12 articles.
1. Anwar D, Garg P, Naik V, Gupta A, Kumar A (2018) Use of portable EEG sensors to detect meditation. https://doi.org/10.1109/COMSNETS.2018.8328299
2. Bhayee S, Tomaszewski P, Lee DH et al (2016) Attentional and affective consequences of technology supported mindfulness training: a randomised, active control, efficacy trial. BMC Psychol 4:60
3. Girshick R (2015) Fast R-CNN. IEEE International Conference on Computer Vision (ICCV). In: Clerk Maxwell J (ed) A Treatise on Electricity and Magnetism, 3rd edn, vol 2. Clarendon, 1892, Oxford, pp 68–73
4. He J, Liu D, Wan Z, Hu C (2014) A noninvasive real-time driving fatigue detection technology based on left prefrontal Attention and Meditation EEG. 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI), Beijing, pp 1–6
5. Liu Y, Xu Y, Li S (2018) 2-D human pose estimation from images based on deep learning: a review. 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), Xi’an, pp 462–465
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