The use of mobile devices and artificial intelligence in consumer style well-being applications. We intend to study physiological signals that can be collected with wearable and mobile devices as well as optimizing their processing requirements.
Mobile and Wearable Devices
Mobile and wearable devices are embedded with heterogenous sensing features useful for vital sign monitoring.
Physiological Signal Processing
Signal processing is essential to remove the noise and interference present inside the physiological signals.
Artificial Intelligence
By utilizing the AI technology, we can retrieve useful feature from the post-processed physiological signals.
Tutorials
To learn more about sensing modalities, physiological signal processing and AI, check out our blogs.
Mobile and wearable devices, undoubtedly, has became an integral part of our daily life. By manipulating the rich sensing features available on these devices, we can constantly monitor the vital sign related to health and fitness issues of our beloved family members. Visit our Github to learn more about our projects.
Our projects leverage the deep learning framework to learn useful features from noisy physiological signals.
Working with embedded devices is a fundamental step to design an efficient signal acquisition system for further analysis.
Deep Learninig
Python and Matlab
Embedded Programming
Lets get in touch. Send us a message:
University of Toronto, Canada Phone: +1 (416) 946-5605 Email: kostas@ece.utoronto.ca