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The number of people with some kind of physical disabilities in the world is around 1 billion. The rate of people who need physiotherapy increases with the aging world population every passing day. Physiotherapy may not be completed with exercises made only in hospital. Therefore, patients should do the exercises given by the physiotherapist at home. The main problem here is that only 31% of the exercises performed by the patients are done correctly. Nowadays, in addition to traditional treatment methods there are studies on telerehabilitation to solve such problems. The aim of this study is to ensure that the shoulder rehabilitation exercises are performed at home by the patients and to provide physiotherapists with meaningful data about the exercises. In this study, Improved Shoulder Physiotherapy Application (ISPA) was presented using Microsoft Kinect 2 for shoulder rehabilitation exercises. ISPA is a hardware and software product that uses the joints on the patient's skeletal system. In the proposed system, the angular values are calculated using the joint points taken from Kinect 2 and the patients are simultaneously guided to do shoulder rehabilitation exercises correctly.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Burakhan Çubukçu
Uğur Yüzgeç
Raif Zileli
Ahu Zileli
Today, the use of meta-heuristic algorithms in solving non-linear and complex problems is becoming popular. These algorithms are inspired by natural selection, swarm intelligence, physical events and nature. Crab mating optimization algorithm is one of the meta-heuristic algorithms which was developed by V.R. Chifu in 2014. The crab mating optimization algorithm imitates the mating behavior of crabs in nature. One of the biggest shortcomings of this algorithm is that it has got the quite long running times for optimization problems. In this study, to increase the running speed of the original crab mating optimization algorithm, the mating process of the crabs in population was modified. A male crab mates with only a female crab in the new mating procedure. Therefore, the name of the proposed meta-heuristic algorithm comes from this new mating process as a Monogamous Crab (MC) mating algorithm. Vehicle routing problem (VRP) is the popular combinatorial optimization problem. VRP relates to the most appropriate route design to be delivered to a range of customer service by a number of fleets. In this study, the developed MC algorithm is adapted for the vehicle routing problem. The performance of MC algorithm was compared with those of metaheuristic algorithms. The results show that MC algorithm provides promising and competitive performance.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Burakhan Çubukçu
Uğur Yüzgeç