Chitturi Prasad
Papers
3
Total Citations
35
H-Index
2
About
Chitturi Prasad’s research sits at the intersection of biomedical engineering and artificial intelligence, with a primary focus on developing intelligent, human-machine interfaces. His most cited work, “EMG Controlled Bionic Robotic Arm using Artificial Intelligence and Machine Learning” (21 citations), explores the use of electromyography—recording muscle electrical activity—to control myoelectric prosthetic limbs. This work aims to create ostensibly controlled artificial appendages that respond to instinctive muscle signals, bridging the gap between human physiology and robotic assistance. Prasad also contributed to the field of human-computer interaction with “Intelligent Voice Assistant by Using OpenCV Approach” (13 citations), which integrates AI-based voice recognition with computer vision to execute user commands. This project demonstrates his interest in multimodal AI systems that combine voice and visual data for seamless interaction. Despite the retraction of his primary paper, which limits its direct impact, Prasad’s work highlights early-stage efforts in AI-driven prosthetics and virtual assistants. His research underscores the challenges and potential of embedding machine learning into assistive technologies, offering a foundation for future innovations in bionic control and intelligent voice interfaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2Intelligent Voice Assistant by Using OpenCV Approach13 citations · 2021
- 3