Shiv Ram Dubey

Indian Institute of Information Technology Sri City, Indian Institute of Information Technology Allahabad

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About

Shiv Ram Dubey is advancing the frontier of human–machine interaction through his pioneering work in surface electromyography (sEMG) signal processing and classification. His research centers on decoding hand gestures and activities of daily living from muscle signals, with a focus on developing robust, energy-efficient feature extraction methods. Dubey’s most-cited paper, “Classification of sEMG Signals of Hand Gestures Based on Energy Features” (2021, 42 citations), established a foundational approach for gesture recognition using energy-domain descriptors. Building on this, he led the creation of EMAHA-DB1 (2023, 20 citations), a novel, multi-channel sEMG dataset capturing 22 activities from 25 able-bodied subjects. This resource fills a critical gap in the field by providing standardized data for evaluating real-world, daily-living tasks rather than isolated gestures. Dubey’s contributions are not only methodological but also infrastructural, enabling reproducible benchmarking and accelerating progress in assistive robotics and prosthetic control. His work is increasingly cited by researchers developing wearable technologies and rehabilitation systems, underscoring its growing impact on applied biomedical engineering.