This Texas State University (TXST) REU site engages undergraduate students in innovative Smart and Connected Health and Communities research in collaboration with Texas A&M-San Antonio(TAMUSA). Students explore areas like AI-driven emotion recognition for children with Autism Spectrum Disorder (ASD), enhanced firefighting systems, and tech-assisted sports assessments for spinal cord injuries. Projects apply machine learning, AI, and IoT to real-world challenges, such as developing AI-powered smart homes for individuals with ASD and improving chronic ankle instability diagnosis. Students also study advanced computer vision for object tracking in engineering. This interdisciplinary experience prepares participants for advanced STEM studies and careers.
AI, LLM, Machine Learning, Deep Learning, IoT, Computer Vision, Object Recognition, Autism Spectrum Disorders, ASD, Emotion Recognition, Smart Firefighting, Rovers, Smart Homes, spinal cord injury, physiological assessment, chronic ankle instability diagnosis, biomechanics
Undergraduate students – sophomore, junior, or non-graduating senior US Citizen or permanent resident GPA of 3.0 or higher (on a 4.0 scale) Programming skills Engineering/CS/Math or related fields
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