Sricheta Parui
ABSTRACT
To make the world more advanced we are trying to improve several things and one of them is the Internet of Things. The real-world object can be turned into an intelligent one by using this technology and nowadays it’s collaborating with many other technologies to bring a smarter solution to any real-world problems. Brain-Computer Interface is another big buzzword in the research industry that drew attention by converting brain signals into a command through which the human mind can decode or encode any command. No need to say that both of the aforementioned technology has the power to change the world within seconds. It has been noticed that the interface between the two technology is complicated but possible. Any IoT device can receive any kind of neuro signal and decode them to receive any information and if this happens we may imply this technology for the advancement of healthcare. This study focuses on the improvement of the healthcare system through the collaboration of the Brain-Computer Interface and the Internet of Things in order to create a smart system such as locking the door, turning on the light, or an alarm system for an emergency call. In this regard, the visual P300 potential looks to be well-suited for controlling smart homes via BCI spellers. In a real smart home scenario, 10 participants with 5 neuro-degenerative illnesses and 5 normal people were employed. The user experience while doing BCI tasks was assessed by monitoring contemporaneous physiological signals. For offline and real-time processing modes, the average accuracy was 82.93% and 82.68% respectively. Our findings indicate that the IoT speed is sufficient for a BCI real-time system in the instance under consideration.
- Mamoun Alazab, Latif U Khan, Srinivas Koppu, Swarna Priya Ramu, M Iyapparaja, Parimala Boobalan, Thar Baker, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, and Ahamed Aljuhani. 2022. Digital Twins for Healthcare 4.0-Recent Advances, Architecture, and Open Challenges. IEEE Consumer Electronics Magazine(2022).Google Scholar
- Deborsi Basu, Vikram Krishnakumar, Sricheta Parui, Wathiq Mansoor, and Uttam Ghosh. 2021. Optimum e-Health care Resource Provisioning using Network Slicing Approach for Future 5G Networks. In 2021 4th International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 88–91.Google ScholarCross Ref
- Deborsi Basu, Sricheta Parui, Tanvi Choudhury, and Uttam Ghosh. 2021. In-Heal: Intelligent Healthcare Architecture using AI-based Priority Scheduling Mechanism in vSDN-driven Edge Network. In 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 01–06.Google ScholarCross Ref
- Xugang Cai and Jiahui Pan. 2022. Toward a Brain-Computer Interface-and Internet of Things-Based Smart Ward Collaborative System Using Hybrid Signals. Journal of Healthcare Engineering 2022 (2022).Google Scholar
- Archita Ghosh, Sricheta Parui, Debasis Samanta, Jayanta Mukhopadhyay, and Nishant Chakravorty. 2021. Computer aided diagnosis: Approaches to automate hematological tests. In Modern Techniques in Biosensors. Springer, 111–134.Google Scholar
- Lidia Ghosh, Amit Konar, Pratyusha Rakshit, Sricheta Parui, Anca L Ralescu, and Atulya K Nagar. 2018. P-300 and N-400 induced decoding of learning-skill of driving learners using type-2 fuzzy sets. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 1–8.Google ScholarDigital Library
- Lidia Ghosh, Sricheta Parui, Pratyusha Rakshit, and Amit Konar. 2017. Eeg analysis for working memory modeling in face recognition task. In 2017 Third International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, 33–38.Google ScholarCross Ref
- Mousumi Laha, Lidia Ghosh, Sricheta Parui, Sayantani Ghosh, and Amit Konar. 2018. Evaluation of density based odor classification by general type-2 fuzzy set induced pattern classifier. In 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 1–6.Google ScholarCross Ref
- Jan Mertes, Daniel Lindenschmitt, Masoud Amirrezai, Nima Tashakor, Moritz Glatt, Christian Schellenberger, Swati Matwankar Shah, Ali Karnoub, Christopher Hobelsberger, Li Yi, 2022. Evaluation of 5G-capable framework for highly mobile, scalable human-machine interfaces in cyber-physical production systems. Journal of Manufacturing Systems 64 (2022), 578–593.Google ScholarCross Ref
- Sricheta Parui, Abhiroop Kumar Roshan Bajiya, Debasis Samanta, and Nishant Chakravorty. 2019. Emotion recognition from EEG signal using XGBoost algorithm. In 2019 IEEE 16th India Council International Conference (INDICON). IEEE, 1–4.Google ScholarCross Ref
- Sricheta Parui and Deborsi Basu. 2021. An Improved Cognitive Approach for Automated Epileptic Seizure Detection from Multichannel EEG. In 2021 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE). IEEE, 68–71.Google ScholarCross Ref
- Sricheta Parui, Deborsi Basu, Uttam Ghosh, and Raja Datta. 2022. A Brain to UAV Communication Model using Stacked Ensemble CSP algorithm based on Motor Imagery EEG signal. In ICC 2022-IEEE International Conference on Communications. IEEE, 1–6.Google ScholarCross Ref
- Sricheta Parui, Deborsi Basu, Wathiq Mansoor, and Uttam Ghosh. 2021. Artificial Intelligence Induced Multi-Level Attention States Recognition from Brain using EEG Signal. In 2021 4th International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 1–4.Google ScholarCross Ref
- Sricheta Parui, Lidia Ghosh, and Amit Konar. 2018. N400 repetition effects on olfactory memory learning. In 2018 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 1–6.Google ScholarCross Ref
- Francesco Schiliro, Nour Moustafa, Imran Razzak, and Amin Beheshti. 2022. DeepCog: A Trustworthy Deep Learning-Based Human Cognitive Privacy Framework in Industrial Policing. IEEE Transactions on Intelligent Transportation Systems (2022).Google Scholar
- Kyungho Won, Moonyoung Kwon, Minkyu Ahn, and Sung Chan Jun. 2022. EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces. Scientific Data 9, 1 (2022), 1–11.Google ScholarCross Ref
Index Terms
- An Advanced Healthcare System Where Internet of Things meets Brain-Computer Interface using Event-Related Potential
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