Daniel's mother suffered from back pain due to long hours sitting at the office, so he decided to use technology to improve her quality of life. Based on six-axis sensors and machine learning, he designed a wearable armband that can monitor users' sitting and standing posture in real-time and remind them to adjust through an app. After multiple rounds of feedback from classmates and algorithm iterations, the device controls posture error within 5 degrees, effectively reducing user discomfort.

Mentor Review
Daniel demonstrated great maturity in hardware selection, low-power design, and real-time algorithm optimization. He collaborated with STEMRise mentors to complete long-term usability testing, ultimately achieving stable and efficient application results.
University Admission
Johns Hopkins University
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