HCI International 2011

9-14 July 2011, Hilton Orlando Bonnet Creek, Orlando, Florida, USA
 
 

Open Workshop: Wireless-EEG Neurophysiological Monitoring Systems for Improving HCI Applications

Monday, 11 July 2011, 13:30 - 17:00, Room Jackson

Chair: Chris Berka, CEO

Advanced Brain Monitoring, Inc. (ABM) develops and markets patented data acquisition technology and software for portable monitoring and real-time interpretation of physiological signals. Over the past decade ABM has developed and implemented mobile, user-friendly platforms for acquiring, integrating, analyzing and reporting multi-sensor data in laboratory and real-world applications. ABM's B-Alert products are a collection of wireless EEG systems that combine battery-powered hardware with a sensor placement system to provide a comfortable, lightweight, easy-to-apply, and unobtrusive method to acquire and analyze up to 24 channels of high-quality EEG along with additional physiological signals such as ECG, EOG, or EMG. This demo will feature the B-Alert x10 live physiological acquisition in an ambulatory environment, highlighting the system's simple set up and robust signal quality. The B-Alert software will also be demoed, featuring  ABM's real-time artifact identification and decontamination algorithms along with  validated, real-time EEG metrics of engagement (1), attention (2), distraction (3), fatigue (4), and cognitive workload (5).


1. Stevens R, Galloway T, Berka C. Allocation of Time, EEG-Engagement and EEG-Workload Resources as Scientific Problem Solving Skills are Acquired in the Classroom. In: Schmorrow D, Stanney K, Reeves L, editors. Augmented Cognition: Past, Present, & Future. Arlington, VA: Strategic Analysis, Inc.; 2007.
2. Berka C, Levendowski D, Cvetinovic M, Petrovic M, Davis G, Lumicao M, et al. Real-time Analysis of EEG Indices of Alertness, Cognition, and Memory Acquired with a Wireless EEG Headset. International Journal of Human-Computer Interaction. 2004;17(2):151-70.
3. Berka C, Levendowski D, Davis G, Yau A, Whitmoyer M, Fatch R, et al. Nicotine Administration and Withdrawal Effects on EEG metrics of Attention, Memory and Workload:  Implications for Cognitive Resource Allocation. In: Schmorrow D, Stanney K, Reeves L, editors. Augmented Cognition: Past, Present and Future. 2 ed. Arlington, VA: Strategic Analysis, Inc.; 2006. p. 174-83.
4. Johnson RR, Popovic D, Olmstead RE, Stikic M, Levendowski DJ, Berka C. Drowsiness determination through EEG: development and validation. Biol Psychol. 2011;87(2):241-50.
5. Poythress M, Russell C, Siegel S, Tremoulet P, Craven PL, Berka C, et al. Correlation between Expected Workload and EEG Indices of Cognitive Workload and Task Engagement. In: Schmorrow D, Stanney K, Reeves L, editors. Augmented Cognition: Past, Present and Future. 2 ed. Arlington, VA: Strategic Analysis, Inc.; 2006. p. 32-44.

 

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