Shivam Sharma
Papers
3
Total Citations
26
H-Index
3
About
Shivam Sharma is a researcher at the forefront of intelligent acoustic sensing and biomedical signal processing, with a primary focus on infant health monitoring and human-machine interaction. His most impactful work centers on developing low-cost, real-time systems for infant cry detection and analysis, where he pioneered the use of acoustic signal characterization to automatically identify the physiological and emotional states of babies—and even the likely cause of their crying. His 2017 paper on a "low cost intelligent smart system for real time infant monitoring and cry detection" (15 citations) and the subsequent "Intelligent Cry Detection Information System" (6 citations) have laid critical groundwork for remote parenting solutions, addressing a pressing need for working parents. More recently, Sharma has expanded into automated grasp recognition using surface electromyography (sEMG), contributing a comprehensive review (2024, 5 citations) that highlights advances and challenges in prosthetics, virtual reality, and human-machine interfaces. With a growing citation footprint and a clear trajectory from acoustic health monitoring to assistive robotics, Sharma’s work is shaping practical, accessible technologies that bridge the gap between signal processing and real-world caregiving.
Research Focus
Key Achievements
Top Papers
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