IEEE Intelligent Systems

Over the last 30 years, video surveillance systems have been a key part of intelligent transportation systems (ITSs), which use various image sensors to capture visual information about vehicles and pedestrians to obtain real-time knowledge of traffic conditions. Specifically, they capture vehicles' visual appearances and support mining more information about them through ve hicle detection, local... View full abstract»

We have been exploring whether multi voxel pattern analysis (MVPA) of functional magnet resonance imaging (fMRI) data can be used to infer the mental states of students learning mathematics. This approach has shown considerable success in tracking static mental states such as whether a person is thinking about a location or an animal. Applying this to our case involves significant challenges not f... View full abstract»

To help people live better in today's digitally explosive environment, the authors envision a Cyber-Individual (Cyber-I) that is the counterpart of a real individual in the physical world. View full abstract»

Advances in neuroelectric recordings and computational tools allow investigation of interactive brain activity and connectivity in a group of subjects engaged in social interactions. View full abstract»

Technical advances in the neuroelectric recordings and in the computational tools for the analysis of the brain activity and connectivity make it now possible to follow and to quantify, in real time, the interactive brain activity in a group of subjects engaged in social interactions. The degree of interaction between persons can then be assessed by "reading" their neuroelectric activities. Imagin... View full abstract»

This paper presents the approach for identifying subcortical targets during deep brain stimulation surgery.Pattern recognition approaches can help localize neural targets for therapeutic neurostimulation, such as deep brain stimulation of the subthalamic nucleus in Parkinson's disease. A variety of neurophysiological signals are routinely collected from patients with brain diseases in the hope tha... View full abstract»

Applying a dynamic Bayesian network model can help detect neural interactions and analyze the characteristics of a monkey's motor cortex during reach-to-grasp tasks. View full abstract»

This article harks back to the origins of this periodical as IEEE Expert Systems. Even while expert systems as a field or paradigm was morphing into intelligent systems, it was recognized that cognitive task analysis was critical in the design of new technologies. Furthermore, as a part of cognitive task analysis, it is crucial to conduct some form of proficiency scale to help identify the experts... View full abstract»

In light of such overwhelming interest from governments and academia in adopting and advancing IT for effective healthcare, there are great opportunities for researchers and practitioners alike to invest efforts in conducting innovative and high-impact healthcare IT research. This IEEE Intelligent Systems Trends and Controversies (T&C) Department hopes to raise awareness and highlight s... View full abstract»

The recent availability of massive amounts of networked data generated by email, instant messaging, mobile phone communications, micro blogs, and online social networks is enabling studies of population-level human interaction on scales orders of magnitude greater than what was previ ously possible.1'2 One important goal of applying statistical inference techniques to large networked datasets is t... View full abstract»