Archives: NRC_Well

Sunday, September 22, 2024

Elhajjar, Diane “A Confidence Framework for Heart Rate Estimation in Video Magnification.” MASc diss., Carleton University, 2023.

... More

Wednesday, July 10, 2024

J. Valdes, Z. Cook, J. Wang, B. Wallace, B. Laska, J. Green, R. Goubran, P. Xi, “Human Activity Understanding through Explainable Audio-Visual Features”, IEEE Sensors Letters, 2024

Link to NRC Link to... More

Saturday, May 4, 2024

Brady Laska, Pengcheng Xi, Julio Valdes, Bruce Wallace, Rafik Goubran, Zero-shot Multi-task Cough Sound Analysis with Speech Foundation Model Embeddings, IEEE International Symposium on Medical Measurements (MeMeA) 2024, 2024

Link to... More

Friday, March 1, 2024

Saiful Huq, “Differentiation of Dry and Wet Cough Sounds using A Deep Learning Model and Data Augmentation”, M.A.Sc. Thesis Carleton University, 2023.

Link to... More

Sunday, February 25, 2024

Mahya Shahmohammadimehrjardi, Bruce Wallace, Adrian D. C. Chan, Rafik Goubran , Pengcheng Xi, Julio J. Valdes , “Multi-Level Method for Sound Source Location Measurement” 2024 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2024

Link to... More

Sunday, February 25, 2024

Brady Laska, Julio J. Valdés, Pengcheng Xi, Rafik Goubran, Bruce Wallace, Madison Cohen-McFarlane, Frank Knoefel, “Cough Sound Analysis using Vocal Tract Models” 2024 IEEE International Instrumentation Measurement Technology Conference (I2MTC), 2024

Link to... More

Sunday, December 31, 2023

D. Elhajjar, B. Wallace, A. Law, R. Goubran, F. Knoefel, “Machine Learning Assessment of Heart Rate Confidence from Video Magnification “, 23rd IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2023

Link to... More

Saturday, October 14, 2023

R. Goubran, F. Knoefel, B. Wallace, N. Thomas, C. Herdman K. van Benthem, H. Sveistrup, K. Fraser, M. Kunz, P. Xi, A. Law, J. Keillor, “AGE-WELL SAM3 collaborative projects with NRC Aging-in-Place program”, AGE-WELL AGM, 2023.

... More

Friday, August 25, 2023

S. Huq, P. Xi, R. Goubran, J. J. Valdés, F. Knoefel and J. R. Green, “Data Augmentation using Reverb and Noise in Deep Learning Implementation of Cough Classification,” 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jeju, Korea, Republic of, 2023, pp. 1-6.

Link to... More

Wednesday, July 12, 2023

F. Knoefel, B. Wallace, N. Thomas, H. Sveistrup, R. Goubran, and C. Laurin, “Supportive Smart Homes: Their Role in Aging in Place”, Switzerland: Springer Nature, 2023

Link to Publisher Page Also available on Indigo Amazon Barnes and Noble MacOdrum... More

Wednesday, June 7, 2023

Z. Zhang, Y. Shen, J. Valdes, S. Huq, B. Wallace, J. Green, P. Xi, R. Goubran, F. Knoefel, “Domestic Sound Classification with Deep Learning” 2023 IEEE Sensors Applications Symposium (SAS), 2023.

Link to... More

Wednesday, June 7, 2023

Elhajjar, D., Wallace, B., Law, A., Goubran, R. Knoefel, F., “A Confidence Framework through Temporal Averaging for Heart Rate Estimation in Video Magnification” 2023 IEEE Sensors Applications Symposium (SAS), 2023.

Link to... More

Load More →