Weixuan 'Vincent' Chen

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Recently, wearable devices have allowed for long term, ambulatory measurement of electrodermal activity (EDA). Despite the fact that ambulatory recording can be noisy, and recording artifacts can easily be mistaken for a physiological response during analysis, to date there is no automatic method for detecting artifacts. This paper describes the development(More)
OBJECTIVE Visualizing implanted subdural electrodes in three-dimensional (3D) space can greatly aid in planning, executing, and validating resection in epilepsy surgery. Coregistration software is available, but cost, complexity, insufficient accuracy, or validation limit adoption. We present a fully automated open-source application, based on a novel(More)
This paper presents a system prototype designed to capture naturally occurring instances of positive emotion during the course of normal interaction with a computer. A facial expression recognition algorithm is applied to images captured with the user's webcam. When the user smiles, both a photo and a screenshot are recorded and saved to the user's profile(More)
Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, analysis of EDA is hampered by its sensitivity to motion artifacts. We propose a method for removing motion artifacts from EDA, measured as skin conductance (SC), using a stationary wavelet transform (SWT). We modeled the(More)
Figure 1. Organic Primitives adapted onto the surfaces of ordinary objects to transform an umbrella, flower, toothbrush, utensil and apple into information sensors and displays powered by pH in fluids. ABSTRACT Whether it be the information embodied within the rain, an aquarium, a dinner plate, or in human tears, pH values constantly fluctuate to reflect(More)
In this work we introduce an experimental methodology and open-sourced web application designed to promote behavior change and wellbeing within a workplace environment. Colleagues are paired together and asked to design a Behavioral Intervention Technology (BIT) uniquely customized to suit their partner's behavior change goal. We present the results of a(More)
One of the most interesting applications of brain computer interfaces (BCIs) is movement prediction. With the development of invasive recording techniques and decoding algorithms in the past ten years, many single neuron-based and electrocorticography (ECoG)-based studies have been able to decode trajectories of limb movements. As the output variables are(More)
— How to reduce the risk of damaging the epilepsy patient's vital function areas during resection of epileptic focus remains a challenge for neurosurgeon. Clinically used electrical cortical stimulation (ECS) method shows limits on accuracy, efficiency and reliability. In this study, a cortical function mapping method with 3Dvisualization was implemented by(More)
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