Papers

3

Total Citations

26

H-Index

3

About

Mossaab Hariz is a leading researcher at the intersection of assistive robotics and human-computer interaction, with a primary focus on developing intelligent systems to support aging populations and individuals with disabilities. His work centers on three key areas: human activity recognition for autonomous robots, multimodal interaction design for assistive devices, and virtual coaching systems for active aging. Hariz’s major contributions include pioneering vision-based activity recognition for humanoid robots operating under real-world constraints, such as limited computing resources and non-fixed camera perspectives, which has garnered 9 citations. He also advanced assistive robotic arm control through multimodal interfaces, integrating PDA-based control with novel interaction frameworks to enhance user autonomy. Most notably, Hariz is a key contributor to the e-VITA project, a joint EU-Japan initiative that developed an advanced virtual coaching system for older adults. This work, published in 2024 with 8 citations, addresses the critical challenge of active aging by combining AI, IoT, and conversational agents to provide personalized, in-home support. His research has significant implications for smart aging technologies, demonstrating how robotic and virtual systems can empower older adults to maintain independence and quality of life.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based Recognition of Activities by a Humanoid Robot
9 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Institut Polytechnique de Paris, Institut Mines-Télécom

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago