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Assistive Technologies for Physical Disabilities using API’s
Authors
1 2 3 4 5 Department. of Computer Science Engineering, Raja Rajeswari College of Engineering, Bengaluru, India.
Article Information
- Published In
- Volume 5, Issue 6 (2025)
- Published Online
- November-December 2025
- Pages
- 219-226
- Article Type
- Original Article
- Check for updates
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References
1. Hervás, R., Francisco, V., Concepción, E., Sevilla, A. F. G., & Méndez, G. (2024). Creating an API Ecosystem for Assistive Technologies Oriented to Cognitive Disabilities. IEEE Access, 12, 163240- 163255.
2. Hurst, A., & Tobias, J. (2011). Empowering Individuals with Do-It-Yourself Assistive Technology. Proceedings of the ACM SIGACCESS. doi: 10.1145/2049536.2049544.
3. Pearce, J. M. (2012). Building Research Equipment with Free, Open-Source Hardware. Science, 337(6100), 1303–1304. (Provided PPT)
4. Zhao, Q., Liu, Y., & Li, B. (2020). Intelligent Voice Assistants for Visually Impaired People: A Survey. IEEE Transactions on Human-Machine Systems, 50(4), 305–315.
5. Bigham, J. P., & Oviatt, S. (2018). The Future of Multimodal Interaction for People with Disabilities. Foundations and Trends in Human– Computer Interaction, 11(2-3), 105–172.Rao, K. A., & Kishore, V. V. (2019). Assistive Technology for Visually Impaired: A Comprehensive Review. Journal of Medical Systems, 43(11), 329.
6. Ma, X., & Chen, G. (2021). The Security and Privacy of Voice Assistants in Smart Homes: A Survey. IEEE Internet of Things Journal, 8(1), 104–121.
7. Pinhanez, C. (2001). The Everywhere Displays Projector: A Device to Make Every Surface a Display and Every Room an Interactive Space. IBM Systems Journal, 41(4), 664–679.
8. Shinohara, K., & Wobbrock, J. O. (2011). In the shadow of misperception: assistive technology use and social interactions. CHI 2011. (Provided PPT)
9. Ghai, W., & Singh, N. (2019). A Review of Speech Recognition Systems. International Journal of Computer Applications, 97(11), 18–25.
10. Sharma, A., & Goyal, M. (2022). Cross-Platform Mobile Application Development: A Comparative Study. IEEE Transactions on Mobile Computing, 21(6), 2090–2105.
11. Chen, Y., et al. (2023). Advances in Natural Language Understanding for Complex Task- Oriented Dialogue Systems. ACM Transactions on Intelligent Systems and Technology, 14(2), 1-28.
12. Zhang, Y., & Chen, L. (2020). Computer Vision- Based Object Recognition for Assisting the Visually Impaired. Sensors, 20(14), 3821.
13. Frizelle, K. M., & Hinchley, J. (2020). Privacy and Security in Biometric Authentication Systems. IEEE Security & Privacy, 18(3), 45–53.
14. Smith, J. R., & Brown, P. A. (2017). Enhancing Accessibility with OCR and Image Captioning. International Journal of Advanced Computer Science and Applications, 8(10), 101–107.
2. Hurst, A., & Tobias, J. (2011). Empowering Individuals with Do-It-Yourself Assistive Technology. Proceedings of the ACM SIGACCESS. doi: 10.1145/2049536.2049544.
3. Pearce, J. M. (2012). Building Research Equipment with Free, Open-Source Hardware. Science, 337(6100), 1303–1304. (Provided PPT)
4. Zhao, Q., Liu, Y., & Li, B. (2020). Intelligent Voice Assistants for Visually Impaired People: A Survey. IEEE Transactions on Human-Machine Systems, 50(4), 305–315.
5. Bigham, J. P., & Oviatt, S. (2018). The Future of Multimodal Interaction for People with Disabilities. Foundations and Trends in Human– Computer Interaction, 11(2-3), 105–172.Rao, K. A., & Kishore, V. V. (2019). Assistive Technology for Visually Impaired: A Comprehensive Review. Journal of Medical Systems, 43(11), 329.
6. Ma, X., & Chen, G. (2021). The Security and Privacy of Voice Assistants in Smart Homes: A Survey. IEEE Internet of Things Journal, 8(1), 104–121.
7. Pinhanez, C. (2001). The Everywhere Displays Projector: A Device to Make Every Surface a Display and Every Room an Interactive Space. IBM Systems Journal, 41(4), 664–679.
8. Shinohara, K., & Wobbrock, J. O. (2011). In the shadow of misperception: assistive technology use and social interactions. CHI 2011. (Provided PPT)
9. Ghai, W., & Singh, N. (2019). A Review of Speech Recognition Systems. International Journal of Computer Applications, 97(11), 18–25.
10. Sharma, A., & Goyal, M. (2022). Cross-Platform Mobile Application Development: A Comparative Study. IEEE Transactions on Mobile Computing, 21(6), 2090–2105.
11. Chen, Y., et al. (2023). Advances in Natural Language Understanding for Complex Task- Oriented Dialogue Systems. ACM Transactions on Intelligent Systems and Technology, 14(2), 1-28.
12. Zhang, Y., & Chen, L. (2020). Computer Vision- Based Object Recognition for Assisting the Visually Impaired. Sensors, 20(14), 3821.
13. Frizelle, K. M., & Hinchley, J. (2020). Privacy and Security in Biometric Authentication Systems. IEEE Security & Privacy, 18(3), 45–53.
14. Smith, J. R., & Brown, P. A. (2017). Enhancing Accessibility with OCR and Image Captioning. International Journal of Advanced Computer Science and Applications, 8(10), 101–107.
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