Minas Aslanyan

Institute for Informatics and Automation Problems

Papers

Total Citations

H-Index

About

Minas Aslanyan is an emerging researcher specializing in computer vision and mobile computing, with a particular focus on human pose estimation and action recognition. His work centers on developing practical, on-device implementations of sophisticated body tracking technologies that identify and analyze key anatomical points across the human body, capturing critical parameters such as joint positions, distances, angles of flexion, and motion types. Aslanyan's most notable contributions explore the intersection of pose estimation and mobile deployment — a challenging frontier that demands balancing computational efficiency with accuracy. His 2024 paper, "On Mobile Pose Estimation and Action Recognition Design and Implementation," extends his earlier 2023 work by incorporating action recognition capabilities, demonstrating a clear progression in research depth and ambition. Together, these publications have accumulated 7 citations, reflecting growing interest from the research community in mobile-compatible computer vision solutions. What distinguishes Aslanyan's research is its applied orientation: rather than pursuing purely theoretical models, he prioritizes real-world implementation on mobile platforms, making advanced body tracking more accessible for applications in healthcare, sports science, rehabilitation, and human-computer interaction. His trajectory suggests a promising researcher whose work addresses increasingly relevant challenges in edge computing and intelligent mobile systems.