Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor.

In this paper we propose a way of using depth maps transformed into 3D point clouds to classify human activities. The activities are described as time sequences of feature vectors based on the Viewpoint Feature Histogram descriptor (VFH) computed using the Point Cloud Library. Recognition is performed by two types of classifiers: (i) k-NN nearest neighbors' classifier with Dynamic Time Warping measure, (ii) bidirectional long short-term memory (BiLSTM) deep learning networks.

Recognition of Signed Expressions in an Experimental System Supporting Deaf Clients in the City Office.

The paper addresses the recognition of dynamic Polish Sign Language expressions in an experimental system supporting deaf people in an office when applying for an ID card. A method of processing a continuous stream of RGB-D data and a feature vector are proposed. The classification is carried out using the k-nearest neighbors algorithm with dynamic time warping, hidden Markov models, and bidirectional long short-term memory.

Recognition of Fingerspelling Sequences in Polish Sign Language Using Point Clouds Obtained from Depth Images.

The paper presents a method for recognizing sequences of static letters of the Polish finger alphabet using the point cloud descriptors: viewpoint feature histogram, eigenvalues-based descriptors, ensemble of shape functions, and global radius-based surface descriptor. Each sequence is understood as quick highly coarticulated motions, and the classification is performed by networks of hidden Markov models trained by transitions between postures corresponding to particular letters. Three kinds of the left-to-right Markov models of the transitions, two networks of the transition models-independent and dependent on a dictionary-as well as various combinations of point cloud descriptors are examined on a publicly available dataset of 4200 executions (registered as depth map sequences) prepared by the authors.

[Thermography in the early detection of breast cancer--our own experiences].

In combination with X-ray mammography and clinical examination thermography adds to the accuracy of breast cancer diagnosis. Thermographic examinations can be repeated at short intervals with no radiation hazard to the patient. However, performing and interpreting thermograms requires meticulous training.

Influence of AT1 receptor blockade on blood pressure, renal haemodynamics and hormonal responses to intravenous angiotensin II infusion in hypertensive patients.

The aim of this study was to investigate blood pressure, renal haemodynamics, hormone secretion and the responses to angiotensin II infusion during candesartan cilexetil (candesartan), losartan potassium (losartan) and valsartan treatment in patients with essential hypertension. In this double-blind, randomized, crossover study, 24 patients (mean blood pressure of 163/97 mmHg), received candesartan 16 mg, losartan 50 mg and valsartan 80 mg once daily (o.d.