Background The study of human movement within sports biomechanics and rehabilitation
settings has made considerable progress over recent decades. However, develo** a …

Human pose estimation refers to the estimation of the location of body parts and how they
are connected in an image. Human pose estimation from monocular images has wide …

Both accuracy and efficiency are of equal importance to the human pose estimation. Most of
the existing methods simply pursue excellent performance, sacrificing massive computing …

Human pose estimation has been a prevalent field of computer vision and sensing study. In
recent years, it has made many advances that have helped humanity in the fields of sports …

3D human pose estimation has a broad range of applications, including anomaly detection
and animation creation. Despite that significant progress on relative research has been …

In this paper, adaptive non-uniform compressive sampling (ANCS) of time-varying signals,
which are sparse in a proper basis, is introduced. ANCS employs the measurements of …

High-dimensional genomic and proteomic data play an important role in many applications
in medicine such as prognosis of diseases, diagnosis, prevention and molecular biology, to …

Face recognition has been an active research area in the past few decades. In general, face
recognition can be very challenging due to variations in viewpoint, illumination, facial …

Abstract Internet of Things (IoT), also referred to as the Internet of Objects, is envisioned as a
holistic and transformative approach for providing numerous services. The rapid …

Patterns or models in data can be found using data mining algorithms. This is a knowledge
discovery process in which data mining is involved. It is a scientific method which is intended …