Location History:
- Palatine, IL (US) (2015 - 2017)
- Elmhurst, IL (US) (2017)
- Grayslake, IL (US) (2015 - 2019)
Company Filing History:
Years Active: 2015-2019
Title: Di You - Innovator in Health Context Determination Systems
Introduction
Di You is a notable inventor based in Grayslake, IL (US), recognized for his contributions to health technology. He holds 8 patents that focus on systems and methods for determining health profiles through context-aware data collection.
Latest Patents
One of his latest patents is a "Context health determination system." This invention involves systems, methods, and devices for determining contexts and associated health profiles using information from multiple health sensor-enabled electronic devices. The contexts can be defined by spatial and temporal components, allowing for arbitrary definitions using semantically meaningful descriptions of time and location. The health sensor data is associated with context data that describes the circumstances under which the data was determined. This data can include implicit health indications and user-reported health descriptions. The system filters sensor data by context to analyze and output a health profile for users or entities. Another significant patent involves "drawing an inference of a usage context of a computing device using multiple sensors." This invention enables a computing device to select a set of sensors to provide information for an inference, thereby conserving time and resources.
Career Highlights
Di You has worked with prominent companies such as Arris Enterprises LLC and Google Inc. His experience in these organizations has contributed to his innovative approach in the field of health technology.
Collaborations
He has collaborated with notable individuals, including Paul C. Davis and Jianguo Li, enhancing his work through shared expertise and insights.
Conclusion
Di You's innovative work in health context determination systems showcases his significant contributions to technology and health monitoring. His patents reflect a deep understanding of how context can influence health data interpretation, paving the way for advancements in personalized health solutions.