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  • Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics

    Gated

    Abstract: In order to reduce the noise of brain signals, neuroeconomic experiments typically aggregate data from hundreds of trials collected from a few individuals. This contrasts with the principle of simple and controlled designs in experimental and behavioral economics. We use a frequency domain variant of the stationary subspace analysis (SSA) technique, denoted as DSSA, […]

  • Mitigating passive fatigue during monotonous drives with thermal stimuli: Insights into the effect of different stimulation durations

    Gated

    Abstract: Driving on monotonous roads has been shown to cause passive fatigue as even non-sleep-deprived drivers suffer from the lack of stimuli. Consequently, alertness is reduced and the risk of accidents increases. To counteract this risk, measures need to be taken to mitigate driver fatigue. While in the past, some studies have been focused on […]

  • Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning

    Gated

    Abstract: Facial pain expression is an important modality for assessing pain, especially when a patient’s verbal ability to communicate is impaired. A set of eight facial muscle-based action units (AUs), which are defined by the Facial Action Coding System (FACS), have been widely studied and are highly reliable means for detecting pain through facial expressions. […]

  • Optimization of menu-labeling formats to drive healthy dining: An eye tracking study

    Gated

    Abstract: This study examines customers’ visual attention when choosing food and beverage items of a fast-food menu. Three formats on menu labeling were examined, including numeric, color-coded, and physical activity-based formats. An experimental choice paradigm combined with eye tracking technology explored customers’ visual attention, preferences for format, and menu choices. The study revealed that customers […]

  • Objective, computerized video-based rating of blepharospasm severity

    Gated

    Objective: To compare clinical rating scales of blepharospasm severity with involuntary eye closures measured automatically from patient videos with contemporary facial expression software. Methods: We evaluated video recordings of a standardized clinical examination from 50 patients with blepharospasm in the Dystonia Coalition’s Natural History and Biorepository study. Eye closures were measured on a frame-by-frame basis […]

  • JAKE® Multimodal Data Capture System: Insights from an Observational Study of Autism Spectrum Disorder

    Gated

    Objective: To test usability and optimize the Janssen Autism Knowledge Engine (JAKE®) system’s components, biosensors, and procedures used for objective measurement of core and associated symptoms of autism spectrum disorder (ASD) in clinical trials. Methods: A prospective, observational study of 29 children and adolescents with ASD using the JAKE system was conducted at three sites in the […]

  • Self-control: Knowledge or perishable resource?

    Gated

    Abstract: The self-control literature suggests two main short-run models with contradictory predictions. By perceiving self-control as a knowledge or perishable resource, those models report a positive and negative impact, respectively, of an initial self-control act on subsequent self-control ability. Using biometric data to monitor compliance enabled us to develop a unified self-control model, reconciling the […]

  • A wearable rehabilitation device for paralysis

    Gated

    Abstract: With the huge development and the latest technological advancement in mechatronics, prosthetic devices have acquired interest in many different fields such as medical and industrial fields. A prosthetic device can be an external wearable mobile machine that covers the body or part of it. It is generated by pneumatics and electric motors. It can […]

  • FaceSync: Open ​source ​​framework ​​for ​recording facial ​expressions with ​head-mounted ​cameras

    Gated

    Abstract: Advances in computer vision and machine learning algorithms have enabled researchers to extract facial expression data from face video recordings with greater ease and speed than standard manual coding methods, which has led to a dramatic increase in the pace of facial expression research. However, there are many limitations in recording facial expressions in laboratory […]

  • Music Recommendation System for Human Attention Modulation by Facial Recognition on a Driving Task: A Proof of Concept

    Gated

    Abstract: The role of music on driving process had been discussed in the context of driver assistance as an element of security and comfort. Throughout this document, we present the development of an audio recommender system for the use by drivers, based on facial expression analysis. This recommendation system has the objective of increasing the […]

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