Zakia Hussain
Papers
2
Total Citations
11
H-Index
2
About
Zakia Hussain is a researcher specializing in biomechanics and robotic rehabilitation, with a focus on human arm dynamics during daily activities. Her work centers on modeling and analyzing upper limb motion to inform the development of assistive robotic systems, particularly for individuals with motor impairments. Hussain’s most notable contribution is her 2019 paper, “3-D Dynamic Modeling and Validation of Human Arm for Torque Determination During Eating Activity Using Kane’s Method,” which has garnered 9 citations. This study pioneered a novel approach to calculating joint torques during eating, offering critical insights for designing more natural and effective robotic rehabilitation devices. Her earlier 2017 work, “Human lower arm analysis during different eating activities,” with 2 citations, laid the groundwork by examining wrist and elbow joint kinematics across various eating tasks and utensils, such as forks and spoons. Together, these studies underscore her impact in bridging biomechanical analysis with practical rehabilitation engineering, providing foundational data that enhances the precision and usability of robotic aids. Hussain’s research is essential reading for students and engineers interested in human motion analysis and the intersection of robotics and healthcare.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human lower arm analysis during different eating activities2 citations · 2017