Electromyography-Based Sign Language Recognition: A Low-Channel Approach for Classifying Fruit Name Gestures Kudratjon Zohirov, Mirjakhon Temirov, Sardor Boykobilov, Golib Berdiev, Feruz Ruziboev, Khojiakbar Egamberdiev, Mamadiyor Sattorov, Gulmira Pardayeva, Kuvonch Madatov Signals, 2025 This paper presents a method for recognizing sign language gestures corresponding to fruit names using electromyography (EMG) signals. The proposed system focuses on classification using a limited number of EMG channels, aiming to reduce classification process complexity while maintaining high recognition accuracy. The dataset (DS) contains EMG signal data of 46 hearing-impaired people and descriptions of fruit names, including apple, pear, apricot, nut, cherry, and raspberry, in sign language (SL). Based on the presented DS, gesture movements were classified using five different classification algorithms—Random Forest, k-Nearest Neighbors, Logistic Regression, Support Vector Machine, and neural networks—and the algorithm that gives the best result for gesture movements was determined. The best classification result was obtained during recognition of the word cherry based on the RF algorithm, and 97% accuracy was achieved.
EMG-Based Recognition of Lower Limb Movements in Athletes: A Comparative Study of Classification Techniques Kudratjon Zohirov, Sarvar Makhmudjanov, Feruz Ruziboev, Golib Berdiev, Mirjakhon Temirov, Gulrukh Sherboboyeva, Firuza Achilova, Gulmira Pardayeva, Sardor Boykobilov Signals, 2025 In this article, the classification of signals arising from the movements of the lower limb of the leg (LLL) based on electromyography (EMG) (walking, sitting, up and down the stairs) was carried out. In the data collection process, 25 athletes aged 15–22 were involved, and two types of data sets (DS-dataset) were formed using FreeEMG and Biosignalsplux devices. Six important time and frequency domain features were extracted from the EMG signals—RMS (Root Mean Square), MAV (Mean Absolute Value), WL (Waveform Length), ZC (Zero Crossing), MDF (Median Frequency), and SSCs (Slope Sign Changes). Several classification algorithms were used to detect and classify movements, including RF (Random Forest), NN (Neural Network), SVM (Support Vector Machine), k-NN (k-Nearest Neighbors), and LR (Logistic Regression) models. Analysis of the experimental results showed that the RF algorithm achieved the highest accuracy of 98.7% when classified with DS collected via the Biosignalsplux device, demonstrating an advantage in terms of performance in motion recognition. The results obtained from the open systems used in signal processing enable real-time monitoring of athletes’ physical condition, which plays a crucial role in accurately and rapidly determining the degree of muscle fatigue and the level of physical stress experienced during training sessions, thereby allowing for more effective control of performance and timely prevention of injuries.
Geometric Modelling of Fractal Structured Objects based on Integration of R-Function And L-System Methods Shahzoda Anarova, Shakhlo Sadullaeva Azimbayevna, Golib Berdiev, Adhamjon Toxtasinov Ilhomjon Ogli, Maftuna Ismoilova Ilxom Kizi ACM International Conference Proceeding Series, 2024 The article offers suggestions about mathematical modeling of architectural objects based on the functional image using the constructive operations of the theory of R-functions. Given in 2D format 3D surface from the data equations work exit according to approach offer done. Work developed mathematician from the model using construction - architecture L-systems in objects based on three measured geometric to the object processing to give through fractal 3D computer design of an architectural building model work developed. In the article work developed samples of the method opportunities reflection made. Fractal geometry terminology and concepts using natural surfaces, forms enough level right, good quality and quantitative way described. In architecture forms structure spatial organize to be done fractal geometry using natural structures like enough level description possible has been repetitive to himself similar from structures use, fractal construction the rules mathematician models and computer graphics using in architecture application this direction possibilities efficiency increases.
Kinematic and Kinetic Analysis to Improve the Overall Fitness of Wrestlers Kudratjon Zohirov, Golib Berdiev, Sardor Boykobilov, Gulmira Pardayeva, Muzaffar Ochilov Proceedings 4th International Conference on Technological Advancements in Computational Sciences Ictacs 2024, 2024 Kinematic and kinetic analysis of gait parameters of professional athletes who are engaged in wrestling, are analyzed in this research. Walking is considered an important factor for a person in sports and everyday life. It is possible to reduce the risk of injury during training which is aimed at performing various technical methods and physical training exercises on the basis of analysis of gait parameters. Together with this, we should take into account that asymmetric features can also be found in athletes who are engaged in wrestling. In the study, significant differences in movement parameters and the causes of asymmetry in the gait parameters of wrestlers were studied. 15 professional wrestlers took part in the experiments, and their gait parameters were collected on the basis of the G-Sensor portable device and the Strength platform (BTS company). The data is collected based on the basis of tests which are specific in advance and are important in the sport of wrestling. Differences between the body movements were found in the response of the parameters of the gait phase to the ground reaction. A longer SwP was observed in the right leg, in the result it causes to decrease of SSP and forward movement of the right leg. In addition, it was observed that the ground reaction force was higher on the left side. This analyzes give more important information about the asymmetry of the body movements in wrestlers and the adaptation of training with prior knowledge of this condition reduces the risk of injuries. The gathered information is considered the important for adjusting the types and sessions of training, improving the general physical trainings of athletes.
Using the TUG Test in Implementing Gait Analysis of Different Types of Wrestlers Kudratjon Zohirov, Golib Berdiev, Sardor Boykobilov, Khojiakbar Egamberdiev, Gulmira Pardayeva Proceedings 4th International Conference on Technological Advancements in Computational Sciences Ictacs 2024, 2024 The analysis of the movement behavior of athletes who are engaged in wrestling is carried out in this article. Gait parameter values were recorded on the basis of the G-Sensor inertial, portable device. It is necessary to study the state of development of balancing technique which is considered one of the main and important factors in wrestling, and in this case, the legs and knees of the human body play an important role. The TUG test was chosen to cinematically study the position of the legs and knees. The cinematic parameters such as the position of the knees, values of speed and acceleration in the turn, and the action time were extracted on the basis of this test and statistical analysis was performed. Experimental tests which were performed in this research were performed on 3 categories of wrestling athletes. Correlation of the general gait condition of this category of wrestling athletes was carried out. Symmetrical gait and movement parameters are taken into account when maintaining the balance of wrestlers.
Calculation of building dimensions in the method of composition fractal analysis Shahzoda Anarova, Shakhlo Sadullaeva, Golib Berdiev International Conference on Information Science and Communications Technologies Applications Trends and Opportunities Icisct 2021, 2021 Some principles of the harmonic composition of the “Minor” Mosque in Tashkent, on the basis of modern methods of fractal analysis are tried to reveal in this article. The suggestions about using fractal dimension in researches which belong to architecture are given in this article. Fractal dimension is introduced as a coefficient which describes geometrically complex shapes, the capabilities of the method are reflected that the details are more important than complete drawn image for them. This research more developed a method for calculating grids of fractal analysis, it gives opportunity to check elements of architecture namely, the complexity of the architectural features of plan of the city, landscape, facade section, decorative pattern and building plan not only by measuring the complexity of the architectural features of building, but also by comparing the relationship among the architectural features.
An Algorithm for Constructing Equations of Geometry Fractals Based on Theories of R-functions Shahzoda Anarova, Zulaykho Ibrokhimova, Golib Berdiev 4th International Symposium on Multidisciplinary Studies and Innovative Technologies Ismsit 2020 Proceedings, 2020 This article discusses the construction of fractal equations, the classical set of Cantor and consisting of spirals based on theories of R-functions (RFM), using recursion procedures. According to the constructed equations, various prefractals can be generated depending on the number of iterations. All results are shown as a raster chart.
