Sunme Park
Papers
1
Total Citations
5
H-Index
1
About
Sunme Park is a researcher at the forefront of privacy-preserving human activity recognition (HAR), with a focus on developing technologies that support elderly care, smart homes, and healthcare applications. Her work addresses a critical challenge in HAR: the need for accurate action recognition without compromising individual privacy. Park’s most-cited paper introduces the Human Daily Indoor Action (HDIA) Dataset, a novel resource that leverages infrared cameras and wearable armband sensors to capture human actions in indoor settings. This dataset, published in 2025 with 5 citations, is notable for its emphasis on privacy preservation—a growing concern in ubiquitous computing. By moving beyond traditional RGB camera-based approaches, Park enables robust action recognition in real-world, uncontrolled environments, directly supporting assistive technologies for aging populations. Her contributions are particularly impactful for researchers and engineers developing non-intrusive monitoring systems, offering a practical pathway to deploy HAR in sensitive contexts like homes and healthcare facilities. Park’s work underscores her commitment to ethical AI and human-centered design, making her a key figure in the evolution of privacy-aware, sensor-based activity recognition.
Research Focus
Key Achievements
Top Papers
- 1