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Haptic system to alert users before impending human errors

High performance cognitive environments such as surgery or driving pose extensive constraints on efficient perception of salient information. In such environments it is beneficial to track physiological signals from the operator and predict errors and their type before they occur and alert the operator to take preventive action. The challenge lies in interpreting complex neural data obtained through sensors such as EEG signals and subsequently alerting the subject to possible errors. This paper presents a EEG based analysis system coupled with a haptic glove and visual feedback based alert system to provide such functionality. The haptic glove was made from six vibratory motors placed on fingers and palm. The EEG system consisted of a Bluetooth EEG cap that monitored attention distraction and drowsiness. Results show that the hand based system for delivering visio-haptic signals to alert users to impending errors can help in avoiding human errors.