Speaker: Gary G. Yen, Regents Professor, FIEEE, FIET Oklahoma State University, School of Electrical and Computer Engineering, USA
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
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.
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.
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.
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"
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"
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.
This paper presents driver simulation results for multi-sensory platform aimed at providing data that are used for driver states classification. This