SPEECH RECOGNTION AND FALL DETECTION OF DOWN SYNDROME PEOPLE
DOI:
https://doi.org/10.61841/1fbrzv79Keywords:
Sound sensor,, accelerometer, IoT, GPS, GSM, communication, dataAbstract
Down syndrome is the common disease in the world. Due to the additional copy of 21st chromosome this particular disease will be occurring. Another name of this disease is called trisomy. For this reason the children mental and physical development is going to delay. Most of the persons affected in their entire life. But each and every people are interested to live strong and satisfying their lives. Current communication technology also plays an important role in the medical field. Many service oriented organizations help the people with Down syndrome and provide more opportunities. Fall identification and sound detection of the Down syndrome people is the most important challenge in medical field. This paper proposed a new framework to fall and sound identification using wireless techniques. The proposed system will be monitor activates and voice of the Down syndrome people. In this system uses two sensor data identify and recognize the fall. The sound sensor is used to detect the voice of the people and transfer the message to the concern taker through GSM module.
Downloads
References
1. Lyakso, E., Frolova, O., Gorodnyi, V., Grigorev, A., Nikolaev, A., & Matveev, Y(2019), “ Reflection of the Emotional State in the Characteristics of Voice and Speech of Children with Down Syndrome” International Conference on Speech Technology and Human-Computer Dialogue (SpeD).
2. Lyakso, E., Frolova, O., & Karpov, A. (2018), “ A New Method for Collection and Annotation of Speech Data of Atypically Developing Children” 2018 International Conference on Sensor Networks and Signal Processing (SNSP), pp.175-180.
3. Arabia Areej Alfaraj1 & Ahmed Bawa Kuyini(2014), “Use of Technology to Support the Learning of Children with Down Syndrome in Saudi “, World Journal of Education Vol. 4, No. 6; ISSN 1925-0746, pp-42-53.
4. JINJUAN FENG & JONATHAN LAZAR(2010), “Computer Usage by Children with Down Syndrome: Challenges and Future Research”, ACM Transactions on Accessible Computing, Vol. 2, No. 3.
5. Brian G. Skotko, Susan P. Levine & Richard Goldstein(2013), “Self-perceptions from People with Down Syndrome” PubMed.
6. Falin Wu , Hengyang Zhao , Yan Zhao & Haibo Zhong (2015), “ Development of a Wearable-Sensor- Based Fall Detection System” , International Journal of Telemedicine and Applications
7. Meagan Smith & Jeannie VisootsakInt J (2013), “Noninvasive screening tools for Down syndrome: a review”, Womens Health, pp 125–131.
8. Mizuno, H., Nagai, H., Sasaki, K., Hosaka, H., Sugimoto, C., Khalil, K., & Tatsuta, S. (2007), “ Wearable Sensor System for Human Behavior Recognition”, International Solid-State Sensors, Actuators and Microsystems Conference, pp.435-438.
9. Hussain, F., Hussain, F., Ehatisham-ul-Haq, M., & Azam, M. A. (2019), “ Activity-Aware Fall Detection and Recognition based on Wearable Sensors”. . IEEE Sensors Journal, pp. -4528- 4536.
10. Chaccour, K., Darazi, R., El Hassani, A. H., & Andres, E. (2017), “ From Fall Detection to Fall Prevention: A Generic Classification of Fall-Related Systems. IEEE Sensors Journal, 17(3), pp. 812–822.
11. Jha, S. K., & Chauhan, A. (2019). Sharing image through visual secret sharing scheme using speech recognition method. International Journal of Advanced Science and Technology, 28(16), 303-307. Retrieved from www.scopus.com
12. Singla, C., & Singh, S. (2019). Databases, classifiers for speech emotion recognition: A review. International Journal of Advanced Science and Technology, 27(1), 69-76. Retrieved from www.scopus.com
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.