Jin, Y., Gao, Y., Guo, X., Wen, J., Li, Z., & Jin, Z. (2022, June). EarHealth: an earphone-based acoustic otoscope for detection of multiple ear diseases in daily life. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (pp. 397-408). [cited Sep 28]. Available from: https://dl.acm.org/doi/10.1145/3498361.3538935

• A multi-institutional team of researchers led by the University at Buffalo has created a method of using earbuds to diagnose ear infections and other ear ailments. The EarHealth system pairs Bluetooth earbuds with a smartphone that’s equipped with a deep learning platform. EarHealth works by sending a chirp through the earbuds of a healthy user. It records how the chirp reverberates throughout the ear canals, creating a profile of each user’s unique inner ear geometry. (ACM Newsletter, UB Article)

Gomez, Juan Diego and Mohammed, Sinan and Bologna, Guido and Pun, Thierry. 2011.Toward 3D scene understanding via audio-description: Kinect-iPad fusion for the visually impaired. In The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility (ASSETS '11). Association for Computing Machinery, New York, NY, USA, 293–294. https://doi.org/10.1145/2049536.2049613

• Computer vision based framework for real time object localization and audio description to provide color and depth perception using Microsoft kinect 3D motion sensor.

Tessendorf, B., Roggen, D., Spuhler, M., Stiefmeier, T., Tröster, G., Grämer, T., ... & Derleth, P. (2011, October). Design of a bilateral vibrotactile feedback system for lateralization. In The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility (pp. 233-234).

• The paper presents a bilateral vibrotactile feedback system for accurate lateralization of target angles in the complete 360 degree-range. It provides details on hardware that was designed that is also applicable for generic vibrotactile feedback applications.

Veaux, C., Yamagishi, J., & King, S. (2011). Voice Banking and voice reconstruction for MND patients. The Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility. https://doi.org/10.1145/2049536.2049619 

• This paper investigates voice reconstruction for individuals with degenerative illnesses that cause them to lose their speech, which sometimes can be soon after diagnosis. Researchers use a model-based speech synthesis that can identify patients' voices through minimal data and deteriorating speech. They had great success with patients diagnosed of Parkinson's and MND.