Ahmed Ismail
Papers
1
Total Citations
27
H-Index
1
About
Ahmed Ismail is a researcher specializing in assistive technologies and intelligent sensor systems, with a particular focus on enhancing mobility and safety for elderly populations. His most-cited work, "ANFIS-based Sensor Fusion System of Sit-to-stand for Elderly People Assistive Device Protocols" (2013), has garnered 27 citations and represents a significant contribution to the field of human-robot interaction and rehabilitation engineering. In this study, Ismail pioneered the integration of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) with multi-sensor fusion to accurately detect and support the sit-to-stand transition—a critical movement for elderly individuals using assistive devices. By combining accelerometer, gyroscope, and force sensor data, his system improves the responsiveness and safety of assistive protocols, reducing fall risks and enhancing user independence. This work has implications for smart healthcare, wearable robotics, and personalized rehabilitation. Ismail’s research bridges artificial intelligence and biomedical engineering, offering practical solutions for aging populations. His contributions have been recognized in the assistive technology community, positioning him as a key figure in developing intelligent, adaptive systems for elderly care.
Research Focus
Key Achievements
Top Papers
- 1