Events

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Abstract

Computer vision systems can play a role in providing care to individuals living with physical or cognitive disability. In this talk, I will first briefly review vision-based systems to provide assistance to older adults with dementia and to assist with usability studies for this population. I will then present preliminary results on assessing the cognitive status of older adults by way of monitoring common activities of daily living.

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Elham Alkabawi will speak on "A Study of Computer Vision-Aided Techniques for Early Diagnosis of Dementia"

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Arief Koesdwiady will speak on "Big-Data-Based Intelligent Transportation Systems for Smart Mobility Application"

You are invited to attend our next UW CPAMI Graduate Seminar, which will include:

Dr. Siamak Mehrkanoonwill speak on "Teaching Machine to Learn The Solution of Dynamical Systems"

Topic

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.

• International Conference on Image Analysis and Recognition (ICIAR 2016), July 13-15, 2016 – Póvoa de Varzim, Portugal. ICIAR 2016 is dedicated to the memory of the late Prof. Mohamed Kamel, CPAMI foundering Director and founding chair of the conference.

• Special Session: Advances in Data Analytics and Pattern Recognition with Applications, ICIAR 2106, this session is honouring the memory of the conference founder the late Professor Mohamed Kamel.

Topic

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In this talk we present the development of intelligence (vs intelligent) implementations from top-down and bottom-up approaches and from Electrical engineering design and Biological Biomimicry to Solid-state Physics prediction.

IEEE World Congress on Computational Intelligence (IEEE WCCI)

Topic

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.