References
Arshad, B., Ogie, R., Barthélemy, J., Pradhan, B., Verstaevel, N., & Perez, P. (2019). Computer vision and iot-based sensors in flood monitoring and mapping: a systematic review. Sensors, 19(22), 5012. Balakrishnan, S., Kumar, K., Lakshmanan, L., & Muthusundar, S. (2021). Iot for health monitoring system based on machine learning algorithm. Wireless Personal Communications, 124(1), 189-205. Chen, W., Sun, Q., Chen, X., Xie, G., Wu, H., & Chen, X. (2021). Deep learning methods for heart sounds classification: a systematic review. Entropy, 23(6), 667. Correia, L., Fuentes, D., Ribeiro, J., Costa, N., Reis, A., Rabadão, C., … & Pereira, A. (2021). Usability of smartbands by the elderly population in the context of ambient assisted living applications. Electronics, 10(14), 1617. Diao, Z., & Sun, F. (2022). Visual Object Tracking Based on Deep Neural Network. Mathematical Problems in Engineering, 2022. Forkan, A., Branch, P., Jayaraman, P., & Ferretto, A. (2019). Halleyassist: a personalised internet of things technology to assist the elderly in daily living.. https://doi.org/10.24251/hicss.2019.507 Hong, N., Kim, M., Jun, M., & Kang, J. (2017). A study on a jwt-based user authentication and api assessment scheme using imei in a smart home environment. Sustainability, 9(7), 1099. Kalake, L., Wan, W., & Hou, L. (2021). Analysis based on recent deep learning approaches applied in real-time multi-object tracking: a review. IEEE Access, 9, 32650-32671. Kang, H., Han, J., & Kwon, G. (2021). Determining the intellectual structure and academic trends of smart home health care research: coword and topic analyses. Journal of Medical Internet Research, 23(1), e19625. Khan, M., Silva, B., & Han, K. (2016). Internet of things based energy aware smart home control system. Ieee Access, 4, 7556-7566. Kumar, P., Braeken, A., Gurtov, A., Iinatti, J., & Ha, P. (2017). Anonymous secure framework in connected smart home environments. Ieee Transactions on Information Forensics and Security, 12(4), 968-979. Kumar, P., Gurtov, A., Iinatti, J., Ylianttila, M., & Sain, M. (2016). Lightweight and secure session-key establishment scheme in smart home environments. Ieee Sensors Journal, 16(1), 254-264. Lee, D. D., & Seung, H. (2021). A neural network based head tracking system. Advances in Neural Information Processing Systems, 10. Li, W., Yi?itcanlar, T., Liu, A., & Erol, I. (2022). Mapping two decades of smart home research: a systematic scientometric analysis. Technological Forecasting and Social Change, 179, 121676. Meimetis, D., Daramouskas, I., Perikos, I., & Hatzilygeroudis, I. (2023). Real-time multiple object tracking using deep learning methods. Neural Computing and Applications, 35(1), 89-118. Nayak, R., Behera, M. M., Girish, V., Pati, U. C., & Das, S. K. (2019, December). Deep learning based loitering detection system using multi-camera video surveillance network. In 2019 IEEE International Symposium on Smart Electronic Systems (iSES)(Formerly iNiS) (pp. 215-220). IEEE. Nguyen, L. A., Dung, P. T., Khoa, T. D., Son, N. H., Hiep, N. T., Van Nguyen, P., ... & Truong, X. T. (2018, November). Deep learning-based multiple objects detection and tracking system for socially aware mobile robot navigation framework. In 2018 5th NAFOSTED Conference on Information and Computer Science (NICS) (pp. 436-441). IEEE. NST, D. (2023). Development of ar android application for disability and elderly-friendly smart home control. International Journal of Information Technology and Computer Engineering, (41), 32-42. Parmar, Y., Natarajan, S., & Sobha, G. (2019). Deeprange: deep?learning?based object detection and ranging in autonomous driving. IET Intelligent Transport Systems, 13(8), 1256-1264. Phan, L. and Kim, T. (2020). Breaking down the compatibility problem in smart homes: a dynamically updatable gateway platform. Sensors, 20(10), 2783. Ravì, D., Wong, C., Lo, B., & Yang, G. (2016). Deep learning for human activity recognition: a resource efficient implementation on low-power devices.. https://doi.org/10.1109/bsn.2016.7516235 Sánchez, V., Taylor, I., & Bing?Jonsson, P. (2017). Ethics of smart house welfare technology for older adults: a systematic literature review. International Journal of Technology Assessment in Health Care, 33(6), 691-699. Sanchez-Comas, A., Synnes, K., & Hallberg, J. (2020). Hardware for recognition of human activities: a review of smart home and aal related technologies. Sensors, 20(15), 4227. Shouran, Z., Ashari, A., & Priyambodo, T. (2019). Internet of things (iot) of smart home: privacy and security. International Journal of Computer Applications, 182(39), 3-8. Unlu, E., Zenou, E., Riviere, N., & Dupouy, P. E. (2019). Deep learning-based strategies for the detection and tracking of drones using several cameras. IPSJ Transactions on Computer Vision and Applications, 11(1), 1-13. Wang, E. K., Chen, C. M., Hassan, M. M., & Almogren, A. (2020). A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain. Future Generation Computer Systems, 108, 135-144. Wang, P., Ye, F., & Chen, X. (2018). A smart home gateway platform for data collection and awareness. Ieee Communications Magazine, 56(9), 87-93. Xue, H. (2023). Study on the development status of smart home: huawei smart home as an example. Advances in Economics Management and Political Sciences, 21(1), 40-44. Yang, T., Zhang, G., Li, Y., Yang, Y., Wang, H., & Zhang, Y. (2022). Detecting privacy leakage of smart home devices through traffic analysis. Security and Communication Networks, 2022, 1-10.
