Papers
2
Total Citations
166
H-Index
2
About
Dr. Annu Mishra is a leading researcher at the intersection of machine learning, affective computing, and assistive technology. Her work focuses on developing intelligent systems that can interpret and respond to human communication, with a particular emphasis on speech emotion recognition and sign language detection. Dr. Mishra’s most influential contribution is her comprehensive 2021 survey on machine learning in speech emotion recognition and vision systems using Recurrent Neural Networks (RNNs), which has garnered 164 citations and serves as a foundational reference for researchers exploring how RNNs can decode emotional cues from speech and visual data. More recently, she has advanced the field of inclusive technology with her 2024 study on sign language detection systems, synthesizing twenty key research publications to map current trends, persistent challenges, and future prospects—from low-power bio-inspired armband solutions to sophisticated neural network architectures. Her work bridges critical gaps between human-computer interaction and accessibility, demonstrating a sustained commitment to creating technology that understands and empowers users. Dr. Mishra’s research continues to shape how machines perceive human emotion and non-verbal communication, making her a vital voice in the evolution of empathetic and inclusive AI systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2