The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Evaluating a Brain-Computer Interface to Categorise Human Emotional Response
Abstract
The aim of this study is to evaluate Neuro Sky's Mindset headset as a minimally invasive method of measuring the attention and meditation levels of a subject. Two psychologically-based tests were conducted to assess the suitability of the headset to measure and categorise a user's level of attention and meditation.
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Rothkrantz, L. J. M., Wiggers, P., van Wees, J.-W. A., & van Vark, R. J. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-30120-2_57 · Cited by 79
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Gramann, K., Gwin, J. T., Ferris, D. P., Oie, K., Jung, T.-P., Lin, C.-T., Liao, L.-D., & Makeig, S. (2011) · Reviews in the Neurosciences · doi:10.1515/rns.2011.047 · Cited by 302
Summary of over Fifty Years with Brain-Computer Interfaces—A Review
Kawala-Sterniuk, A., Browarska, N., Al-Bakri, A., Pelc, M., Zygarlicki, J., Sidikova, M., Martinek, R., & Gorzelanczyk, E. J. (2021) · Brain Sciences · doi:10.3390/brainsci11010043 · Cited by 292
Consumer Grade EEG Measuring Sensors as Research Tools: A Review
Sawangjai, P., Hompoonsup, S., Leelaarporn, P., Kongwudhikunakorn, S., & Wilaiprasitporn, T. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2962874 · Cited by 267
Cognitive Heat: Exploring the Usage of Thermal Imaging to Unobtrusively Estimate Cognitive Load
Abdelrahman, Y., Velloso, E., Dingler, T., Schmidt, A., & Vetere, F. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3130898 · Cited by 154
Mind-controlled transgene expression by a wireless-powered optogenetic designer cell implant.
Folcher, M., Oesterle, S., Zwicky, K., Thekkottil, T., Heymoz, J., Hohmann, M., Christen, M., Daoud El-Baba, M., Buchmann, P., & Fussenegger, M. (2014) · Nature Communications · doi:10.1038/ncomms6392 · Cited by 130
Metadata
- Authors
- Crowley, K., Sliney, A., Pitt, I., & Murphy, D.
- Venue
- 2010 10th IEEE International Conference on Advanced Learning Technologies
- Publisher
- IEEE
- Published
- 2010-07
- Pages
- 276-278
- OpenAlex
- W1987347308
- Cited by
- 192
- References
- 1
- FWCI
- 24.40
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Crowley, K., Sliney, A., Pitt, I., & Murphy, D. (2010). Evaluating a Brain-Computer Interface to Categorise Human Emotional Response. 2010 10th IEEE International Conference on Advanced Learning Technologies. https://doi.org/10.1109/icalt.2010.81
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
