Advances in Mobile Computing and Multimedia Intelligence (eBook, PDF)

22nd International Conference, MoMM 2024, Bratislava, Slovak Republic, December 2-4, 2024, Proceedings
Redaktion: Delir Haghighi, Pari; Khalil, Ismail; Kotsis, Gabriele; Fedushko, Solomiia

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 22nd International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM 2024, held in Bratislava, Slovak Republic, during December 2-4, 2024.

The 10 full papers and 8 short papers in this book were carefully reviewed and selected from 34 submissions. They were organized in topical sections as follows: wearable and sensor-based data for human performance and interaction; mobile user experience, motivation, and behavior; medical and cognitive health applications; image, video, and multimedia processing; software and system intelligence.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 216
• Erscheinungstermin: 27. November 2024
• Englisch
• ISBN-13: 9783031780493
• Artikelnr.: 72265842

Inhaltsangabe

.- Wearable and Sensor-Based Data for Human Performance and Interaction.

.- Investigating Choking Under Pressure in Dance Performance with Motion and Physiological Information Analysis.

.- A method for Estimating the Force Applied on the forearm using PPG Sensors.

.- Good Vibes! Towards Phone-to-User Authentication Through Wristwatch Vibrations.

.- A Method for Embedding Information into Acceleration Data using Resonant Frequency Sound to Capacitive Accelerometers.

.- Mobile User Experience, Motivation, and Behavior.

.- MEUSec - Method for Enhancing User Experience and Information Security.

.- Correlation between gamification and intrinsic motivation with a mobile job-market application.

.- Query by Trash: Encouraging Green Attitudes and Behavior through Eco-News Retrieval in Smart Trash Bins.

.- Evaluating the Impact of Color and Sound Combinations on Cognitive Performance in Virtual Reality.

.- Medical and Cognitive Health Applications.

.- Mild Cognitive Impairment Prediction Using Facial and Speech Data.

.- Comparing training of Sparse to Classic Neural Networks for Binary Classification in Medical Data.

.- A Genetic Algorithm-Based Scheduling Method Considering Working Hours for Medical Doctors.

.- Image, Video, and Multimedia Processing.

.- Application of Benford's law to the identification of non-authentic digital images.

.- Efficient moving object detection from Ultra-High Resolution omnidirectional video.

.- Evaluation of the clustering method used to analyze the proximity of mobile devices using indirect geolocation indicators.

.- Software and System Intelligence.

.- Cross-Project Software Defect Prediction using Ensemble Model with Individual Data Balancing and Feature Selection.

.- AUTO-DataGenCARS+: An Advanced User-Oriented Tool to Generate Data for the Evaluation of Recommender Systems.

.- A Method for Eliminating False Positives of Acceleration-based Gesture Recognition Using Eye Tracking.

.- Toward the Implementation of a Cooking Support System Complementing Nonexistent Objects with Virtual Objects.