Aamir Arsalan

University of Engineering and Technology Taxila

Papers

Total Citations

H-Index

About

Aamir Arsalan is a researcher whose work lies at the intersection of wearable computing, human activity recognition, and human-object interaction (HOI) analysis. His most cited paper, "Recognizing Human-Object Interaction (HOI) Using Wrist-Mounted Inertial Sensors" (2020, 6 citations), introduces a novel approach to detecting and recognizing objects and interactions using inertial data from wrist-worn devices—offering a privacy-preserving alternative to vision-based methods. This work has significant implications for applications in security, surveillance, robotics, and health monitoring, where understanding how humans engage with their environment is critical. By leveraging the ubiquity of smartwatches and fitness trackers, Arsalan’s research opens new pathways for context-aware computing and assistive technologies. His contributions help bridge the gap between low-cost sensor data and high-level semantic understanding of human behavior. Though early in his career, his focused work on inertial-based HOI recognition is gaining traction and promises to influence future developments in ubiquitous and wearable systems.