Traditional dance is one of the key elements of Intangible Culture Heritage (ICH). Many scientific papers concern analysis of dance sequences, classification and recognition of movements, making ICH data public, creating and visualising 3D models or software solutions for learning folklore dances. These works make it possible to preserve this disappearing art. The aim of this article is to propose a methodology for scanning folklore dances. The methodology was developed on the basis of capturing 3D data via an optical motion capture system with a full body Plug-in Gait model that allows for kinematic and kinetic analysis of motion sequences. An additional element of this research was the development of a hand model with which it is possible to precisely analyse the fingers, which play a significant role in many dances. The present methodology was verified on the basis of the Lazgi dance, included in the UNESCO ICH list. The obtained results of movement biomechanics for the dance sequence and the angles of the fingers indicate that it is universal and can be applied to dances that involve the upper and lower body parts, including hand movements.

The purpose of this study is to compare recreationally physically active females and males with regard to spine, pelvis and lower limb joints peak angles in each plane of motion during a single leg squat (SLS). The second aim is to investigate the relationship between kinematics and SLS depth in females and males. Fifty-eight healthy, young adults performed 5 repetitions of a single right leg squat to maximal depth while keeping their balance. Kinematic data were obtained using an optical motion capture system. At the hip, greater adduction and greater internal rotation were observed in females than in males. Females had more extended spines and less outward bended knees throughout the SLS than did men. In males, squat depth was significantly, positively correlated with the maximal angle of the ankle (r = 0.60, p < 0.001), the knee (r = 0.87, p < 0.001), the hip (r = 0.73, p < 0.001) and the pelvis (r = 0.40, p = 0.02) in the sagittal plane. A positive significant correlation was found between SLS depth and maximal angle of the knee (r = 0.88, p < 0.001) and the ankle (r = 0.53, p = 0.01) in the sagittal plane in females. Males and females used different motor strategies at all levels of the kinematic chain during SLS.

Introduction and objective: Low back pain (LBP) is a problem which causes human suffering and entails costs for treatment. Chronic LBP is considered a civilization diseases in developed countries and one of the major public health problem worldwide. Squatting is a part of such daily...

From April 2018, all cars and light vans sold in the European Union are to have a built-in eCall system. Its task will be automatic detection of accidents and informing the emergency services. The system will be installed in new cars. The installation in older vehicles may be difficult or uneconomical. This article presents the concept of a system executing similar tasks using a mobile device. A smartphone can be used to automatically send information about the collision, but also enables automatic voice connection. This can make it possible/easier for victims to call for help. The proposed system can also perform the function of the “black box” recording information on a moving vehicle before the collision. In the proposed solution it is also possible to set up an emergency number. Instead of emergency services, relatives can be notified and, if necessary, they can notify rescuers. The article presents the results of measurements recorded using mobile device sensors which allows an algorithm to be developed that recognizes collisions and an experimental implementation of the proposed system. The collision detection method and its implementation presented in this paper use an improved motion type recognition method developed by the authors. The motion type recognition method is used to reduce the risk of a false collision detection. The method is also briefly discussed.