References
- Alzubaidi, M. A., & Otoom, M. (2018). Discussion-facilitator: Towards enabling students with hearing disabilities to participate in classroom discussions. International Journal of Technology Enhanced Learning, 10(1–2), 73–90. doi:https://doi.org/10.1504/IJTEL.2018.088337
- Arduino.cc. (2018, April 5). Arduino – Arduino Board Uno SMD. [online]. Retrieved from https://www.arduino.cc/en/Main/ArduinoBoardUnoSMD
- Boldt, R. (2017). Vibrotactile motorcycle navigation ( Master’s thesis).
- Boll, S., Asif, A., & Heuten, W. (2011). Feel your route: A tactile display for car navigation. IEEE Pervasive Computing, 10(3), 35–42. doi:https://doi.org/10.1109/MPRV.2011.39
- Campbell, J. P. (1997). Speaker recognition: A tutorial. Proceedings of the IEEE, 85(9), 1437–1462. doi:https://doi.org/10.1109/5.628714
- Deaf Niche. (2017). 2017’s winner of KIA’s idea festival is a built-in car program for deaf drivers. [online]. Retrieved from https://deafniche.com/2017s-winner-of-kias-idea-festival-is-a-built-in-car-program-for-deaf-drivers/
- Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009). The WEKA data mining software: An update. ACM SIGKDD Explorations Newsletter, 11(1), 10–18. doi:https://doi.org/10.1145/1656274
- Homeland Security. (2013). Improving communication between ambulances and the hearing-impaired. [online]. Retrieved from https://www.dhs.gov/sites/default/files/publications/Improving%20Communication%20Between%20Ambulances%20and%20the%20Hearing%20Impaired.pdf
- Huang, X., & Deng, L. (2010). An overview of modern speech recognition. In N. Indurkhya and Fred J. Damerau (Eds.), Handbook of natural language processing (pp. 339–366). USA: CRC Press Publisher.
- Kerdegari, H. (2017). Head-mounted Sensory Augmentation System for Navigation in Low Visibility Environments ( Doctoral dissertation). University of Sheffield.
- Kuwahara, N., Morimoto, K., Kozuki, K., & Kawamura, T. (2008). Emergency vehicle alarm system for deaf drivers by using LEDs and vibration devices. Journal of Light & Visual Environment, 32(2), 226–229. doi:https://doi.org/10.2150/jlve.32.226
- Lee, J., Elzawawy, A., & Rahemi, H. (2014, July 22–24). A.Ds: Aid device for deaf drivers. LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2014), Guayaquil, Ecuador.
- Mahdi Safaa, A., Muhsin Asaad, H., & Al-Mosawi Ali, I. (2012). Using ultrasonic sensor for blind and deaf persons combines voice alert and vibration properties. Research Journal of Recent Sciences 1(11), 50–52.
- Mantri, M. A., Tiwari, M. M., & Singh, M. J. (2014). Performance evaluation of human voice recognition system based on MFCC feature and HMM classifier. International Journal of Engineering Research and Applications, 4(2), 715–719.
- Mohammadi, S., & Mesgarha, S. G. (2012). Horn of car sensitive controlled system for helping deaf drivers and improving their driving. Advanced materials research 433, 6751–6754.
- Narang, S., & Gupta, M. D. (2015). Speech feature extraction techniques: A review. International Journal of Computer Science and Mobile Computing, 4(3), 107–114.
- Nukarinen, T., Rantala, J., Farooq, A., & Raisamo, R. (2015, June). Delivering directional haptic cues through eyeglasses and a seat. 2015 IEEE World Haptics Conference (WHC) (pp. 345–350). IEEE. doi:https://doi.org/10.3389/fnagi.2014.00345
- Otoom, M., & Alzubaidi, M. A. (2017). Ambient intelligence framework for real-time speech-to-sign translation. Assistive Technology, 30(3), 119–132.
- Padgilwar, A., & Borkar, Y. (2014). Cars for deaf people. International Review of Applied Engineering Research, 4(4), 307–312.
- Park, S. W., & Trevino, J. (2013). Automatic detection of emergency vehicles for hearing impaired drivers. Texas A&M University-Kingsville, EE/CS Department, MSC 192, Kingsville. Journal of the Acoustical Society of America, 50, 637–665.
- Rabiner, L. R., Juang, B. H., & Rutledge, J. C. (1993). Fundamentals of speech recognition (Vol. 14). Englewood Cliffs, NJ: PTR Prentice Hall.
- Rhiu, I., Kwon, S., Bahn, S., Yun, M. H., & Yu, W. (2015). Research issues in smart vehicles and elderly drivers: A literature review. International Journal of Human-Computer Interaction, 31(10), 635–666. doi:https://doi.org/10.1080/10447318.2015.1070540
- Tan, P. N. (2018). Introduction to data mining. India: Pearson Education India.
- Turunen-Taheri, S., Carlsson, P. I., Johnson, A. C., & Hellström, S. (2019). Severe-to-profound hearing impairment: Demographic data, gender differences and benefits of audiological rehabilitation. Disability and Rehabilitation, 41(23), 2766–2774. doi:https://doi.org/10.1080/09638288.2018.1477208
- Watson, S., Logan, C., Guinn, J., & Nelson, D. (2010). Emergency vehicle alert device (EVADE). [online]. Retrieved from http://www.eecs.ucf.edu/seniordesign/su2010fa2010/gd/
- World Health Organization. (2018). Deafness and hearing loss. [online]. Retrieved from http://www.who.int/news-room/fact-sheets/detail/deafness-and-hearing-loss