For many years, neural networks have gained gigantic interest and their popularity is likely
to continue because of the success stories of deep learning. Nonetheless, their applications …

Non-intrusive load monitoring (NILM) provides homeowners with detailed feedback on their
electricity usage, but an open area is appliance labeling and generalizable appliance …

Recognition of complex trajectories in multivariate time-series data requires effective models
and representations for the analysis and matching of functional data. In this work, we …

Dynamic time warping (DTW) is a time-domain-based method and widely used in various
similar recognition and data mining applications. This paper presents a phase …

Abrupt changes in speed due to external disturbances can occur during human gait. Insight
into the gait compensation mechanism is necessary to examine gait stability in the context of …

Diagnosis of cardiovascular diseases usually relies on the widely used standard 12-Lead
(S12) ECG system. However, such a system could be bulky, too resource-intensive, and too …

An automatic recognition algorithm based on the feature extraction of working parameters to
recognize each state in the loading cycle process of an electric mining shovel was …

Personal identity verification by means of signature handwriting dynamics is a widely
researched aspect of behavioral biometrics. The Dynamic Time Warping (DTW) technique …

Diagnosis of cardiovascular diseases usually relies on the widely used standard 12-Lead
(S12) ECG system. However, such a system could be bulky, too resource-intensive, and too …

A real-time 2D gesture tracking and recognition system based on micro motion and vision
sensors fusion is presented in this paper. The 100 Hz inertial data from MEMS sensors and …