Smartwatch Payment
Smartwatch payment systems are being enhanced through research focusing on improving security and user experience. Current efforts concentrate on developing efficient machine learning models, often employing techniques like knowledge distillation and autoencoders, to reduce the data needed for user enrollment and improve gesture recognition for authentication. This research is significant because it addresses the need for secure and convenient contactless payment methods, potentially impacting both the financial technology sector and the broader field of wearable computing.
Papers
October 7, 2024
August 26, 2024
Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment
Bidyut Saha, Riya Samanta, Soumya K Ghosh, Ram Babu Roy
TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines
Hymalai Bello, Daniel Geißler, Sungho Suh, Bo Zhou, Paul Lukowicz
July 23, 2024
July 13, 2024
July 12, 2024
June 3, 2024
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March 11, 2024
February 11, 2024
January 31, 2024
January 1, 2024
December 3, 2023
September 12, 2023
July 24, 2023
July 11, 2023
June 22, 2023
June 8, 2023