Staff

Computer algorithms developed by engineering researchers at the University of Waterloo can accurately determine when drivers are texting or engaged in other distracting activities.

The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behavior and grades or classifies them in terms of possible safety threats.

Fakhri Karray, an electrical and computer engineering professor at Waterloo, said that information could be used to improve road safety by warning or alerting drivers when they are dangerously distracted.

CPAMI faculty member Professor William Melek will lead the Robohub research initiative, which is funded by Canadian Foundation for Innovation and the provinical government for a total budget of $4,600,000. CPAMI faculty members among others in the faculty of engineering will benefit greatly from this innovative facility. 

CPAMI would like to inform and invite its members and associates on the following two events held by Eric Horvitz, who is a distinguished AI researcher and Microsoft Research Lab Director. The two distinguished lectures will be held  on February 9 and February 10th. The events are part of UW Cheriton School of Computer Science  Distinguished Lectures Series:

Topic

Towards personalized design of non‐verbal human‐robot interaction

Abstract

For most humans it is “natural” to interact with other humans and in particular to use non-verbal communication as a mean to convey intention, emotion and to give a purpose to an interaction. This talk presents some of our latest advances in human science and in particular to model and to understand human behavior and non-verbal

Topic

EEG Signal Processing: An overview on Existig and Exciting Applications

Abstract

The past decade has witnessed many significant advances in the use of physiological signals, and in EEG signals in particular, for human machine interfaces (HMI). This presentation offers a high level overview of various aspects of the EEG signal processing and analysis framework needed in support of emerging consumer-style and health care / well-being applications.

Topic

Autonomous Navigation in Unknown and Dynamic Large–Scale Environments

Abstract

The talk will give a brief overview of recent research activities and achievements of my Lab in the area of autonomous navigation of ground and aerial robots. The emphasis will be given on our recently developed algorithms for real-time motion planning and control, localization and mapping, and moving objects detection and tracking.