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M Termeh, A Ghanbarzadeh, M.h Honarvar, K Heidari Shirazi,
Volume 18, Issue 19 (7-2020)

In a walking cycle design, maximizing the upright balance should be considered in addition to the kinematic constraints, energy consumption rate must be considered. The purpose of this study is to find the optimal step length obtained for each person according to the physical features. In this research, in order to minimize energy consumption rate by considering maximum balance two cost function were defined. the fall cost function was designed based on the concept of MOS and balance index. To investigate the upright balance and to reconstruct the movement pattern, Data from normal walking gait of healthy subjects was taken and seven links model was defined. In this study, the optimal step length was obtained for the person with height, weight and gait cycle characteristics. it is shown that for a person of 92kg mass and 1.87 meters height, the best step length in walking would be 0.54 meters. In this study, the kinematic and kinetic characteristics of human motion were identified by the analysis of gait patterns on a treadmill. Through the calculation of the balance index, individuals are helped to find the optimal step length for which the maximum balance is achieved. The results of the study can provide the optimal step length to correct the gait pattern.

Mr Amir Hossein Tavari, Dr Mohammad Hadi Honarvar, Dr Mostafa Hajlotfalian,
Volume 19, Issue 21 (9-2021)

In recent years, efforts have been made to use non-invasive methods to achieve these angles. The aim of this study was to investigate the capabilities and reliability of a non-invasive system based on surface data mining using infrared depth cameras. To do this, you must first use a number of mathematical relations to create a cloud of points of the surface and to extract the desired deviations by geometric analysis of the map and surface topography. In this study, after extraction of cloud of points, the gossip method based on the second surface derivative was used to identify anatomical landmarks. Based on this, the body surface area was divided into a number of convexity, convection and parabolic. Then, by mathematical analysis of the surface topography map, the angles of a number of backward anomalies were estimated. To test the repeatability of this method, intra class correlation coefficient and minimum detectable changes were used to evaluate the relative and absolute  reliability. The results of this study showed that it is possible to identify landmarks using the second derivative method with appropriate accuracy. The results of the reliability survey also showed acceptable and high values ​​for the studied angles. Thus, it can be said that the use of this method has a good introverted reliability and can be a good alternative to radiography in continuous evaluations.

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