Matthew D. Pierce

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Children with autism spectrum disorder (ASD) show deficits in their ability to produce facial expressions. In this study, a group of children with ASD and IQ-matched, typically developing (TD) children were trained to produce "happy" and "angry" expressions with the FaceMaze computer game. FaceMaze uses an automated computer recognition system that analyzes(More)
This paper presents the design, optimization, and experimental analysis of a biologically inspired wet shape memory alloy (SMA) actuated heart for robotic systems. Just as the human heart provides energy to the muscles in the body, the robotic SMA heart distributes thermofluidic energy to arrays of SMA actuators that function as robotic muscles.(More)
Children with Autism Spectrum Disorders (ASD) are impaired in their ability to produce and perceive dynamic facial expressions [1]. The goal of SmileMaze is to improve the expression production skills of children with ASD in a dynamic and engaging game format. The Computer Expression Recognition Toolbox (CERT) is the heart of the SmileMaze game. CERT(More)
Computational study of the mechanisms and stereoselectivities of a dual amino-catalyzed synthesis of cyclohexenones containing all-carbon γ-quaternary and ∂-tertiary stereocenters is reported. Extensive conformational search with density functional theory optimizations, the high-accuracy SCS-MP2/cc-pV∞Z energies, and PCM solvation corrections were used to(More)
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