Details
Title
Building management system based on brain computer interface. ReviewJournal title
Archives of Electrical EngineeringYearbook
2021Volume
vol. 70Issue
No 4Authors
Affiliation
Kawa, Bartłomiej : Lodz University of Technology, Poland ; Borkowski, Piotr : Lodz University of Technology, Poland ; Rodak, Michał : Lodz University of Technology, PolandKeywords
BCI ; BCI challenges ; BMS ; intelligent building ; reviewDivisions of PAS
Nauki TechniczneCoverage
887-905Publisher
Polish Academy of SciencesBibliography
[1] Gan V.J.L., Lo I.M.C., Ma J., Tse K.T., Cheng J.C.P., Chan C.M., Simulation optimisation towards energy efficient green buildings: Current status and future trends, Journal of Cleaner Production, Elsevier Ltd, vol. 254, p. 120012 (2020), DOI: 10.1016/j.jclepro.2020.120012.[2] Ericsson, 10 hot consumer trends 2030 (2019), https://www.ericsson.com/en/reports-and-papers/consumerlab/reports/10-hot-consumer-trends-2030, accessed December 29, 2020.
[3] Ramadan R.A., Vasilakos A.V., Brain computer interface: control signals review, Neurocomputing, vol. 223, pp. 26–44 (2017), DOI: 10.1016/j.neucom.2016.10.024.
[4] Donoghue J.P., Connecting cortex to machines: Recent advances in brain interfaces, Nature Neuroscience, Nature Publishing Group, vol. 5, no. 11s, pp. 1085–1088 (2002), DOI: 10.1038/nn947.
[5] Schwartz A.B., Cortical neural prosthetics, Annual Review of Neuroscience, vol. 27, Annual Reviews, pp. 487–507 (2004), DOI: 10.1146/annurev.neuro.27.070203.144233.
[6] Nicolas-Alonso L.F., Gomez-Gil J., Brain computer interfaces, a review, Sensors, vol. 12, no. 2, pp. 1211–1279 (2012), DOI: 10.3390/s120201211.
[7] Jafar M.R., Nagesh D.T., A beginner’s guide to Brain Machine Interface – Review, SSRN, pp. 6–10 (2020), DOI: 10.2139/ssrn.3645960.
[8] Shi K., GaoN., Li Q., Bai O., A P300 brain-computer interface design for virtual remote control system, 2017 3rd IEEE International Conference on Control Science and Systems Engineering, ICCSSE 2017, pp. 326–329 (2017), DOI: 10.1109/CCSSE.2017.8087950.
[9] Birbaumer N., Brain-computer-interface research: Coming of age, Clinical Neurophysiology, vol. 117, no. 3, pp. 479–483 (2006), DOI: 10.1016/j.clinph.2005.11.002.
[10] Marx S. et al., Validation of mobile eye-tracking as novel and efficient means for differentiating progressive supranuclear palsy from Parkinson’s disease, Frontiers in Behavioral Neuroscience, vol. 6, no. DEC (2012), DOI: 10.3389/fnbeh.2012.00088.
[11] Birbaumer N., Cohen L.G., Brain-computer interfaces: Communication and restoration of movement in paralysis, in Journal of Physiolog., vol. 579, no. 3, pp. 621–636 (2007), DOI: 10.1113/jphysiol.2006.125633.
[12] Bhemjibhaih D.P., Sanjay G.D., Sreejith V., Prakash B., Brain-computer interface based home automation system for paralysed people, 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS 2018), pp. 230–233 (2019), DOI: 10.1109/RAICS.2018.8635060.
[13] Gao X., Xu D., Cheng M., Gao S., A BCI-based environmental controller for the motion-disabled, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 137–140 (2003), DOI: 10.1109/TNSRE.2003.814449.
[14] Daly J.J., Huggins J.E., Brain-computer interface: Current and emerging rehabilitation applications, Archives of Physical Medicine and Rehabilitation, W.B. Saunders, vol. 96, no. 3., pp. S1–S7 (2015), DOI: 10.1016/j.apmr.2015.01.007.
[15] Bonneau L., Ramahandry V., Probst T., Pedersen L., Dakkak-Arnoux B., Smart Building: Energy Efficiency Application (2017).
[16] Minh K.N., Van D.L., Duc T.D., An T.N., An advanced IoT system for monitoring and analysing chosen power quality parameters in micro-grid solution, Archives of Electrical Engineering, vol. 70, no. 1, pp. 173–188 (2021), DOI: 10.24425/aee.2021.136060.
[17] Hannan M.A. et al., A review of internet of energy based building energy management systems: Issues and recommendations, IEEE Access, vol. 6, pp. 38997–39014 (2018), DOI: 10.1109/ACCESS.2018.2852811.
[18] Minoli D., Sohraby K., Occhiogrosso B., IoT Considerations, Requirements, and Architectures for Smart Buildings-Energy Optimization and Next-Generation Building Management Systems, IEEE Internet of Things Journal, vol. 4, no. 1, pp. 269–283 (2017), DOI: 10.1109/JIOT.2017.2647881.
[19] Kastner W., Neugschwandtner G., Soucek S., Newman H.M., Communication systems for building automation and control, Proceedings of the IEEE, vol. 93, no. 6, pp. 1178–1203 (2005), DOI: 10.1109/JPROC.2005.849726.
[20] Wang M., Qiu S., Dong H., Wang Y., Design an IoT-based building management cloud platform for green buildings, Proceedings – 2017 Chinese Automation Congress, CAC 2017, vol. 2017, January, pp. 5663–5667 (2017), DOI: 10.1109/CAC.2017.8243793.
[21] Lilis G., Conus G., Kayal M., A distributed, event-driven building management platform on web technologies, Proceedings of 1st International Conference on Event-Based Control, Communication and Signal Processing, EBCCSP 2015 (2015), DOI: 10.1109/EBCCSP.2015.7300702.
[22] Ahmad M.W., Mourshed M., Yuce B., Rezgui Y., Computational intelligence techniques for HVAC systems: A review, Building Simulation, vol. 9, no. 4, pp. 359–398 (2016), DOI: 10.1007/s12273-016-0285-4.
[23] Chen Z., Xu P., Feng F., Qiao Y., LuoW., Data mining algorithm and framework for identifying HVAC control strategies in large commercial buildings, Building Simulation, vol. 14, no. 1, pp. 63-74 (2021), DOI: 10.1007/s12273-019-0599-0.
[24] Sun F., Yu J., Indoor intelligent lighting control method based on distributed multi-agent framework, Optik, vol. 213, no. March, p. 164816 (2020), DOI: 10.1016/j.ijleo.2020.164816.
[25] Khanchuea K., Siripokarpirom R., A Multi-Protocol IoT Gateway and WiFi/BLE Sensor Nodes for Smart Home and Building Automation: Design and Implementation, 2019 10th International Conference of Information and Communication Technology for Embedded Systems (IC-ICTES), pp. 1–6 (2019), DOI: 10.1109/ICTEmSys.2019.8695968.
[26] Anwar F., Boby R.I., Rashid M.M., Alam M.M., Shaikh Z., Network-Based Real-time Integrated Fire Detection and Alarm (FDA) System with Building Automation, IOP Conference Series: Materials Science and Engineering, vol. 260, no. 1 (2017), DOI: 10.1088/1757-899X/260/1/012025.
[27] Luo R.C., Lin S.Y., Su K.L., A multiagent multisensor based security system for intelligent building, IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, vol. 2003-January, pp. 311–316 (2003), DOI: 10.1109/MFI-2003.2003.1232676.
[28] Hui H., Ding Y., Shi Q., Li F., Song Y., Yan J., 5G network-based Internet of Things for demand response in smart grid: A survey on application potential, Applied Energy, vol. 257, p. 113972 (2020), DOI: 10.1016/j.apenergy.2019.113972.
[29] Chauhan R.K., Chauhan K., Building automation system for grid-connected home to optimize energy consumption and electricity bill, Journal of Building Engineering, vol. 21, no. May 2018, pp. 409-420 (2019), DOI: 10.1016/j.jobe.2018.10.032.
[30] Afroz Z., Shafiullah G.M., Urmee T., Higgins G., Modeling techniques used in building HVAC control systems: A review, Renewable and Sustainable Energy Reviews, vol. 83, pp. 64–84, Elsevier Ltd (2018), DOI: 10.1016/j.rser.2017.10.044.
[31] Amana H.A.C., ASXC16 Air Conditioner Best Suited For Homes|Amana (2021), https://www.amanahac.com/products/air-conditioners/16-seer-asxc16, accessed March 23, 2021.
[32] Goodman, Air Conditioner/GSXC18/Up To 18 SEER/Goodman, 2021, https://www.goodmanmfg.com/products/air-conditioners/18-seer-dsxc18, accessed March 23, 2021.
[33] Bryant, Two stage air conditioners – air conditioners/Bryant (2021), https://www.bryant.com/en/us/products/air-conditioners/189bnv, accessed March 23, 2021.
[34] Trane, Air Conditioner/$400 Rebate on Quietest AC/Trane®Cooling (2021), https://www.trane.com/residential/en/products/air-conditioners/xv18-air-conditioners, accessed March 23, 2021.
[35] Cheng Y., Fang C., Yuan J., Zhu L., Design and application of a smart lighting system based on distributed wireless sensor networks, Applied Sciences, Switzerland, vol. 10, no. 23, pp. 1–21 (2020), DOI: 10.3390/app10238545.
[36] Kaminska A., Ozadowicz A., Lighting control including daylight and energy efficiency improvements analysis, Energies, vol. 11, no. 8 (2018), DOI: 10.3390/en11082166.
[37] Toub M., Reddy C.R., Robinett R.D., Shahbakhti M., Integration and Optimal Control of MicroCSP with Building HVAC Systems: Review and Future Directions, Energies, vol. 14, no. 3, p. 730 (2021), DOI: 10.3390/en14030730.
[38] Kang J., Han J., Park J.H., Design of IP camera access control protocol by utilizing hierarchical group key, Symmetry, vol. 7, no. 3, pp. 1567–1586 (2015), DOI: 10.3390/sym7031567.
[39] Froiz-Míguez I., Fernández-Caramés T.M., Fraga-Lamas P., Castedo L., Design, implementation and practical evaluation of an iot home automation system for fog computing applications based on MQTT and ZigBee-WiFi sensor nodes, Sensors, Switzerland, vol. 18, no. 8, pp. 1–42 (2018), DOI: 10.3390/s18082660. [40] KNX Association KNX Association [official website] (2020), https://www.knx.org/knx-en/forprofessionals/index.php, accessed January 06, 2021.
[41] Tran T.N., Grid Search of Convolutional Neural Network model in the case of load forecasting, Archives of Electrical Engineering, vol. 70, no. 1, pp. 25–36 (2021), DOI: 10.24425/aee.2021.136050.
[42] Prashant P., Joshi A., GandhiV., Brain computer interface: A review, (2016), DOI: 10.1109/NUICONE.2015.7449615.
[43] Lee S., Shin Y., Woo S., Kim K., Lee H.-N., Review of Wireless Brain-Computer Interface Systems, Brain-Computer Interface Systems – Recent Progress and Future Prospects (2013), DOI: 10.5772/56436.
[44] Hall J.E., Guyton and Hall Textbook of Medical Physiology, Saunders, vol. 13 (2015).
[45] Wolpaw J.R., Birbaumer N., McFarland D.J., Pfurtscheller G., Vaughan T.M., Brain-computer interfaces for communication and control, Clinical Neurophysiology, Elsevier, vol. 113, no. 6, pp. 767–791 (2002), DOI: 10.1016/S1388-2457(02)00057-3.
[46] Laureys S., Boly M., Tononi G., Functional neuroimaging in The Neurology of Consciousness, pp. 31–42 (2009), DOI: 10.1016/B978-0-12-374168-4.00003-4.
[47] Sanei S., Chambers J.A., EEG Signal Processing (2007).
[48] Baillet S., Mosher J.C., Leahy R.M., Electromagnetic brain mapping, IEEE Signal Processing Magazine, vol. 18, no. 6, pp. 14–30 (2001), DOI: 10.1109/79.962275.
[49] Kübler A., Kotchoubey B., Kaiser J., Birbaumer N., Wolpaw J.R., Brain-computer communication: Unlocking the locked, Psychological Bulletin, vol. 127, no. 3, pp. 358–375 (2001), DOI: 10.1037/0033- 2909.127.3.358.
[50] Anand B.K., Chhina G.S., Singh B., Some aspects of electroencephalographic studies in Yogis, Electroencephalography and Clinical Neurophysiology, vol. 13, no. 3, pp. 452–456 (1961), DOI: 10.1016/0013-4694(61)90015-3.
[51] Aftanas L.I., Golocheikine S.A., Human anterior and frontal midline theta and lower alpha reflect emotionally positive state and internalized attention: High-resolution EEG investigation of meditation, Neuroscience Letters, vol. 310, no. 1, pp. 57–60 (2001), DOI: 10.1016/S0304-3940(01)02094-8.
[52] Kübler A., Neumann N., Wilhelm B., Hinterberger T., Birbaumer N., Predictability of braincomputer communication, Journal of Psychophysiology, vol. 18, no. 2–3, pp. 121–129 (2004), DOI: 10.1027/0269-8803.18.23.121.
[53] Ortiz V.H., Tapia J.J., Mathematical model for classification of EEG signals, Optics and Photonics for Information Processing IX, vol. 9598, no. September 2015, p. 95981C (2015), DOI: 10.1117/12.2187092.
[54] EMOTIV/Brain Data Measuring Hardware and Software Solutions (2020), https://www.emotiv.com, accessed January 06, 2021.
[55] EEG – ECG – Biosensors (2020), http://neurosky.com, accessed January 06, 2021.
[56] MuseTM – Meditation Made Easy with the Muse Headband (2020), https://choosemuse.com, accessed January 06, 2021.
[57] OpenBCI – Open Source Biosensing Tools (EEG, EMG, EKG, and more) (2020), https://openbci.com, accessed January 06, 2021.
[58] DSI Series Dry EEG Headsets – Wearable Sensing (2020), https://wearablesensing.com, accessed January 06, 2021.
[59] ANT Neuro inspiring technology for the human brain (2020), https://www.ant-neuro.com, accessed January 06, 2021.
[60] Reinventing brain health, Neuroelectrics (2020), https://www.neuroelectrics.com, accessed January 06, 2021.
[61] Fully mobile EEG devices mBrainTrain, Home new (2020), https://mbraintrain.com, accessed January 06, 2021.
[62] Advanced Brain Monitoring (2020), https://www.advancedbrainmonitoring.com, accessed January 06, 2021.
[63] Dry EEG Headset, CGX, United States (2020), https://www.cgxsystems.com/home-old, accessed January 06, 2021.
[64] Ghodake A.A., Shelke S.D., Brain controlled home automation system (2016), DOI: 10.1109/ISCO.2016.7727050.
[65] Lee W.T., Nisar H., Malik A.S., Yeap K.H., A brain computer interface for smart home control, Proceedings of the International Symposium on Consumer Electronics, ISCE (2013), pp. 35–36, DOI: 10.1109/ISCE.2013.6570240.
[66] Holzner C., Guger C., Edlinger G., Grönegress C., Slater M., Virtual smart home controlled by thoughts, Proceedings of the Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2009, pp. 236–239 (2009), DOI: 10.1109/WETICE.2009.41.
[67] Edlinger G., Holzner C., Guger C., Groenegress C., Slater M., Brain-computer interfaces for goal orientated control of a virtual smart home environment, 2009 4th International IEEE/EMBS Conference on Neural Engineering, NER’09, pp. 463–465 (2009), DOI: 10.1109/NER.2009.5109333.
[68] Alrajhi W., Alaloola D., Albarqawi A., Smart home: Toward daily use of BCI-based systems (2017), DOI: 10.1109/ICIHT.2017.7899002.
[69] Alshbatat A.I.N., Vial P.J., Premaratne P., Tran L.C., EEG-based Brain-computer Interface for Automating Home Appliances, Journal of Computers, vol. 9, no. 9 (2014), DOI: 10.4304/jcp.9.9.2159-2166.
[70] Virdi P., Syal P., Kumari P., Home automation control system implementation using SSVEP based brain computer interface, Proceedings of the International Conference on Inventive Computing and Informatics, ICICI 2017, pp. 1068–1073 (2018), DOI: 10.1109/ICICI.2017.8365304.
[71] Boucha D., Amiri A., Chogueur D., Controlling electronic devices remotely by voice and brain waves, Proceedings of the 2017 International Conference on Mathematics and Information Technology, ICMIT 2017, pp. 38–42 (2018), DOI: 10.1109/MATHIT.2017.8259693.
[72] Putze F., Weib D., Vortmann L.M., Schultz T., Augmented reality interface for smart home control using SSVEP-BCI and eye gaze, Conference Proceedings – IEEE International Conference on Systems, Man and Cybernetics, pp. 2812–2817 (2019), DOI: 10.1109/SMC.2019.8914390.
[73] Kosmyna N., Tarpin-Bernard F., Bonnefond N., Rivet B., Feasibility of BCI control in a realistic smart home environment, Frontiers in Human Neuroscience, vol. 10, p. 10 (2016), DOI: 10.3389/fnhum.2016.00416.
[74] Cortez S.A., Flores C., Andreu-Perez J., A Smart Home Control Prototype Using a P300-Based Brain– Computer Interface for Post-stroke Patients, Smart Innovation, Systems and Technologies, vol. 202, pp. 131–139 (2021), DOI: 10.1007/978-3-030-57566-3_13.
[75] Miah M.O., Khan S.S., Shatabda S., Al Mamun K.A., Farid D.M., Real-Time EEG Classification of Voluntary Hand Movement Directions using Brain Machine Interface, Proceedings of 2019 IEEE Region 10 Symposium, TENSYMP 2019, pp. 473–478 (2019), DOI: 10.1109/TENSYMP46218.2019.8971255.
[76] Käthner I. et al., A P300 BCI for e – inclusion, cognitive rehabilitation and smart home control, pp. 60–63 (2014), DOI: 10.3217/978-3-85125-378-8-15.
[77] Edlinger G., Holzner C., Guger C., A hybrid brain-computer interface for smart home control, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6762 LNCS, no. PART 2, pp. 417–426 (2011), DOI: 10.1007/978-3- 642-21605-3_46.
[78] Kim H.J., Lee M.H., Lee M., A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task (2020), DOI: 10.1109/BCI48061.2020.9061634.
[79] Park S., Cha H.S., Im C.H., Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain-Computer Interface, IEEE Access, vol. 7, pp. 163604– 163614 (2019), DOI: 10.1109/ACCESS.2019.2952613.
[80] Vaughan T.M. et al., The wadsworth BCI research and development program: At home with BCI, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 14, no. 2, pp. 229–233 (2206), DOI: 10.1109/TNSRE.2006.875577.
[81] Qin L.Y. et al., Smart home control for disabled using brain computer interface, International Journal of Integrated Engineering, vol. 12, no. 4, pp. 74–82 (2020), DOI: 10.30880/ijie.2019.11.06.004.
[82] Dobosz K., Wittchen P., Brain-computer interface for mobile devices, Journal of Medical Informatics and Technologies, vol. 24, pp. 215–222 (2015).
[83] Kawa B., Borkowski P., Data analysis of the latency in the building with using telecommunication technology, Przegl˛ad Elektrotechniczny, vol. 1, no. 2, pp. 131–137 (2021), DOI: 10.15199/48.2021.02.28.