Transfer Learning Based on Hybrid Riemannian and Euclidean Space Data Alignment and Subject Selection in Brain-Computer Interfaces
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2020.3048683
Abstract: Transfer learning is a promising approach for reducing training time in a brain-computer interface (BCI). However, how to effectively transfer data from previous users to a new user poses a huge challenge. This paper presents… read more here.
Keywords: subject selection; transfer learning; data alignment; alignment ... See more keywords
Data Alignment Design for Robotic Programming by Demonstration Based on IMU and Optical Tracker
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3244796
Abstract: This study proposes a data alignment design for sensor fusion of an optical target (OT) and an inertial measurement unit (IMU) to track the trajectory of a handheld tool for robot programming by demonstration (PbD).… read more here.
Keywords: alignment; programming demonstration; data alignment; alignment design ... See more keywords
Exploiting the Vulnerability of Relative Data Alignment in Phasor Data Concentrators to Time Synchronization Attacks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2019.2957150
Abstract: In this paper, we formulate an attack on the relative data alignment scheme used by Phasor Data Concentrators (PDCs) to aggregate and stream phasor measurements. This attack leverages the specification governing the PDC functionality in… read more here.
Keywords: data concentrators; phasor data; attack; relative data ... See more keywords