P
Parmod Kumar
Researcher at Idaho State University
Publications - 29
Citations - 222
Parmod Kumar is an academic researcher from Idaho State University. The author has contributed to research in topics: Filter (signal processing) & System identification. The author has an hindex of 9, co-authored 28 publications receiving 182 citations. Previous affiliations of Parmod Kumar include Nanyang Technological University & French Institute for Research in Computer Science and Automation.
Papers
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Journal ArticleDOI
Subliminal Priming—State of the Art and Future Perspectives
TL;DR: The strengths and weaknesses of different priming experiments that have measured affective (emotional) and cognitive responses are highlighted and state-of-the-art methods and potential future directions in research marketing and other commercial applications are emphasized.
Proceedings ArticleDOI
Competition over timeline in social networks
TL;DR: The occupancy distribution of a given user's timeline is characterised and queueing techniques are used to analyse the period of time a content is present on a given timeline, which characterises the equilibrium rate of content generation.
Proceedings Article
An adaptive multi sensor data fusion with hybrid nonlinear ARX and Wiener-Hammerstein models for skeletal muscle force estimation
Parmod Kumar,Chandrasekhar Potluri,Anish Sebastian,Steve C. Chiu,Alex Urfer,D. Subbaram Naidu,Marco P. Schoen +6 more
TL;DR: An array of three sEMG sensors is used to capture the information of muscle dynamics in terms of s EMG signals and generated muscle force, and the final fusion based output of three sensors provides good skeletal muscle force estimates.
Proceedings ArticleDOI
Frequency domain surface EMG sensor fusion for estimating finger forces
Chandrasekhar Potluri,Parmod Kumar,Madhavi Anugolu,Alex Urfer,Steve C. Chiu,D. Subbaram Naidu,Marco P. Schoen +6 more
TL;DR: In this paper, array sensors are used along with a proposed sensor fusion scheme that result in a simple Multi-Input-Single-Output (MISO) transfer function, and a GA approach is employed to optimize the characteristics of the MISO system.
Journal ArticleDOI
Effect of Subliminal Lexical Priming on the Subjective Perception of Images: A Machine Learning Approach
Dhanya Menoth Mohan,Parmod Kumar,Faisal Mahmood,Kian F. Wong,Abhishek Agrawal,Mohamed Elgendi,Rohit Shukla,Natania Ang,April Ching,Justin Dauwels,Alice H. D. Chan +10 more
TL;DR: The consistent results obtained confirmed the overall priming effect on participants’ explicit ratings and showed a strong shift in the likeness judgment for the images in the positively primed condition compared to the other two.