Category Archives: Uncategorized

2021/2 Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study 2021/4 Can Medical Alexas Make Us Healthier?

We have participated in the ADReSSo 2021 challenge, and submitted “WavBERT: Exploiting Semantic and Non-semantic Speech using Wav2vec and BERT for Dementia Detection,” Youxiang Zhu, Abdelrahman Obyat, Xiaohui Liang, John Batsis and Robert Roth ADReSSo 2021: http://www.homepages.ed.ac.uk/sluzfil/ADReSSo-2021/

Meeting using Zoom Attendees: Dr. Liang, Dr. Batsis, Dr. Roth, Dr. Kotz, Dr. MacWhinney, Tiffany, Youxiang We have discussed the project progress, including: We have collected 11 VAS data from onsite in-lab evaluation and 56 VAS data from virtual in-lab evaluation. We plan to recruit patients with dementia from our DH site for the restContinue reading “Group meeting on March 19, 2021”

2021/3. Proof-of-concept system turns smart speakers into contactless heart rhythm monitors 2021/2 Efficacy of Smart Speaker–Based Metamemory Training in Older Adults: Case-Control Cohort Study 2020/11. Amazon releases new Alexa features allowing families to monitor seniors living alone 2020/8. Amazon Alexa & Oral-B ink deal for voice-integrated toothbrush system 2018/6. In-Depth: Voice, independence-focused technologies drive agingContinue reading “(Related) News of Smart Speaker”

Youxiang Zhu, Xiaohui Liang, John A. Batsis, and Robert M. Roth Examination of speech datasets for detecting dementia, collected via various speech tasks, has revealed links between speech and cognitive abilities. However, the speech dataset available for this research is extremely limited because the collection process of speech and baseline data from patients with dementia in clinical settingsContinue reading “Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection”

We have recruited a total of 61 patients, including 30 Healthy Controls (HC), 31 Mild Cognitive Impairments (MCI), and 1 Dementia. Our team recently have finished the following works. Xiaohui Liang, John Batsis, Youxiang Zhu, Tiffany Driesse, Robert Roth, David Kotz, and Brian MacWhinney, “Evaluating Voice-Assistant Commands for Dementia Detection.” Youxiang Zhu, Xiaohui Liang, JohnContinue reading “Research Update on March 8”

Meeting using Zoom Attendees: Dr. Liang, Dr. Batsis, Dr. Roth, Dr. Stark, Tiffany Driesse, Dr. Alvin McKelvy (NIH), and Dr. Yuan Luo (NIH) We have discussed the medical monitor report, including: Project Organizational Chart Purpose of the Study Projected Timetable and Schedule Study Status Recruitment and Participant Status Safety Assessments for all participants

Meeting using Zoom Attendees: Dr. Liang, Dr. Batsis, Dr. Roth, Dr. MacWhinney, Dr. Kotz, Youxiang We have discussed: Year-1 progress Year-2 plan and timeline IRB submission at UNC Recruitment at UNC in late September/early October Meeting with Safety Officer in the late October Progress on technical ideas General discussion on data collection and analysis

Our team member Dr. John A. Batsis has started his new position at the University of North Carolina (UNC) at Chapel Hill on September 1, 2020. We plan to finish the in-lab evaluation at UNC in year 2, i.e., before May 30, 2021, and start the in-home evaluation in January 2021. John A. Batsis, MD, FACP, AGSF,Continue reading “Dr. John A. Batsis moved to UNC”

We have participated in the ADReSS 2020 challenge. Check our recent paper “Exploiting Fully Convolutional Network and Visualization Techniques on Spontaneous Speech for Dementia Detection” at https://arxiv.org/abs/2008.07052.