Titlebook: Robust Multimodal Cognitive Load Measurement; Fang Chen,Jianlong Zhou,Dan Conway Book 2016 Springer International Publishing Switzerland 2

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Eye-Based Measuresion with different stages of cognitive processes when performing arithmetic tasks. The experimental results presented demonstrate the feasibility of a comparatively fine-grained method of cognitive load measurement in dynamic workplace environments.

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Emotion and Cognitive Load feature and its extension (Haar-like features) are used to characterise physiological responses of cognitive load under these context effects. Boosting based feature selection and classification are employed that successfully classify workload even under the influence of those noisy factors.

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沙文主义

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1571-5035 tomatic and real-time cognitive load measurement.Provides moThis book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors inc

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978-3-319-81099-7Springer International Publishing Switzerland 2016

radiograph

Robust Multimodal Cognitive Load Measurement978-3-319-31700-7Series ISSN 1571-5035 Series E-ISSN 2524-4477