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    Assessment of Movement Smoothness Indices in Hand Movement of Stroke Patients with Motion Capture System

    , M.Sc. Thesis Sharif University of Technology Feizi, Navid (Author) ; Behzadipour, Saeed (Supervisor)
    Nowadays, stroke is known as one of the main reasons for death and disability. Statistical researches have shown that the number of stroke survivors is growing. Assessing stroke stage is one of the vital requirement of effective rehabilitation. Since the recent decades, new methods to assess upper extremity movement quality based on movement kinematic have been proposed in the literature. These methods quantify movement quality with the use of kinematic indices. In this study, repeatability and reliability of the proposed indices have been evaluated in a functional motion of daily activity consisted of diverse tasks. In this study, calculations were done on captured data of hand's movement... 

    Video images and undulatory movement equation of pangasius sanitwongsei's caudal fin of steady swimming fish

    , Article International Journal of Design and Nature and Ecodynamics ; Vol. 9, issue. 2 , 2014 , pp. 95-108 ; ISSN: 1755-7445 Vaghefi, A. S ; Abbaspour, M ; Sharif University of Technology
    Experimental hydrodynamics imaging of four Pangasius sanitwongsei were considered. A quantitative characterization of caudal fin is presented in this article. Steady swimming of four P. sanitwongsei with different total length was studied experimentally and taped by high-speed digital video, and undulatory movement of each fish at different velocity was revealed. The pattern of body undulatory movement of the fish was drawn from the video images. Three main factors that determine the fish swimming behavior are Reynolds number, Strouhal number and shape. In this study, Lf/L was chosen as a characteristic of shape, where Lf was the distance from the start of the head to the end of the head.... 

    SFAVD: Sharif farsi audio visual database

    , Article IKT 2013 - 2013 5th Conference on Information and Knowledge Technology, Shiraz, Iran ; 2013 , Pages 417-421 ; 9781467364904 (ISBN) Naraghi, Z ; Jamzad, M ; Sharif University of Technology
    With increasing use of computers in everyday life, improved communication between machines and human is needed. To make a right communication and understand a humankind face which is made in a graphical environment, implementing the audio and visual projects like lip reading, audio and visual speech recognition and lip making are needed. Lack of a complete audio and visual database for this application in Farsi language made us provide a new complete Farsi database for this project that is called SFAVD. It is a unique audio and visual database which in addition to considering Farsi conceptual and speech structure, it considers influence of speech on lip changes. This database is created for... 

    Detection of Movement Related Cortical Potentials in EEG

    , M.Sc. Thesis Sharif University of Technology Ghasem-Sani, Omid (Author) ; Shamsollahi, Mohammad Bagher (Supervisor)
    Movement-Related Cortical Potentials (MRCPs) are a subset of Event Related Potentials (ERPs). The event that MRCPs are related to is the endogenous event of self-paced voluntary movement. Like many other ERPs, MRCPs have small amplitudes relative to the background EEG activity, making it difficult to detect them on a single-trial basis. Nevertheless, detection of MRCPs with good accuracy can be vastly benecial to automated rehabilitation systems and to Brain-Computer Interfaces. In this project, a new experimental protocol for MRCP is introduced and signals recorded using this protocol are analyzed. The protocol has been designed and recordings have been made by the author during the summer... 

    Efficient hardware implementation of real-time low-power movement intention detector system using fft and adaptive wavelet transform

    , Article IEEE Transactions on Biomedical Circuits and Systems ; Volume 11, Issue 3 , 2017 , Pages 585-596 ; 19324545 (ISSN) Chamanzar, A ; Shabany, M ; Malekmohammadi, A ; Mohammadinejad, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    The brain-computer interfacing (BCI), a platform to extract features and classify different motor movement tasks from noisy and highly correlated electroencephalogram signals, is limited mostly by the complex and power-hungry algorithms. Among different techniques recently devised to tackle this issue, real-time onset detection, due to its negligible delay and minimal power overhead, is the most efficient one. Here, we propose a novel algorithm that outperforms the state-of-the-art design by sixfold in terms of speed, without sacrificing the accuracy for a real-time, hand movement intention detection based on the adaptive wavelet transform with only 1 s detection delay and maximum... 

    Collective movement and collective information acquisition with signaling

    , Article Frontiers in Physics ; Volume 9 , 2021 ; 2296424X (ISSN) Salahshour, M ; Rouhani, S ; Sharif University of Technology
    Frontiers Media S.A  2021
    We consider a population of mobile agents able to make noisy observations of the environment and communicate their observation by production and comprehension of signals. Individuals try to align their movement direction with their neighbors. Besides, they try to collectively find and travel towards an environmental direction. We show that, when the fraction of informed individuals is small, by increasing the noise in communication, similarly to the Vicsek model, the model shows a discontinuous order-disorder transition with strong finite-size effects. In contrast, for a large fraction of informed individuals, it is possible to go from the ordered phase to the disordered phase without... 

    A mixture of modular structures to describe human motor planning level: A new perspective based on motor decomposition

    , Article 2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011 ; 2011 , Pages 199-204 ; 9781467310055 (ISBN) Sadeghi, M ; Andani, M. E ; Fattah, A ; Parnianpour, M ; Sharif University of Technology
    A modular hierarchical structure is developed to describe human movement planning level. The modular feature of the proposed model enables it to generalize planning a task. The movements are planned based on decomposing a task into its corresponding subtasks (motion phases). There is a module responsible for one condition. The final plan is constructed using soft computing of the plans proposed by different modules. Each module estimates the kinematics of the joints at the end of each subtask; we call them kinematic estimator modules (KEMs). A timing module estimates the duration of motion and a gating module determines the responsibility of each KEM under different conditions. To evaluate... 

    Speech driven lips animation for the Farsi language

    , Article Proceedings of the International Symposium on Artificial Intelligence and Signal Processing, AISP 2015, 3 March 2015 through 5 March 2015 ; 2015 , Pages 201-205 ; 9781479988174 (ISBN) Naraghi, Z ; Jamzad, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    With the growing presence of computers in everyday life, communication improvement between human and machines is inevitable. Talking faces are the faces whose movements are synchronized to speech. They have an effective role in many applications. Lip is the most important part of a talking face. The main goal of this project is implementing a natural and human-like lip movement synthesis system for the Farsi language. For this purpose, a comprehensive audio visual database called SFAVD1 was designed and used. After extracting the sufficient features and designing a parallel Hidden Markov Model, the speech driven lip movement sequence generator system for Farsi input speech was implemented.... 

    Real-time multiple face detection and tracking

    , Article 2009 14th International CSI Computer Conference, CSICC 2009, 20 October 2009 through 21 October 2009 ; 2009 , Pages 379-384 ; 9781424442621 (ISBN) Abin, A. A ; Fotouhi, M ; Kasaei, S ; Sharif University of Technology
    In recent years, processing the images that contain human faces has been a growing research interest because of establishment and development of automatic methods especially in security applications, compression, and perceptual user interface. In this paper, a new method has been proposed for multiple face detection and tracking in video frames. The proposed method uses skin color, edge and shape information, face detection, and dynamic movement analysis of faces for more accurate real-time multiple face detection and tracking purposes. One of the main advantages of the proposed method is its robustness against usual challenges in face tracking such as scaling, rotation, scene changes, fast... 

    Trunk motion system (TMS) using printed body worn sensor (BWS) via data fusion approach

    , Article Sensors (Switzerland) ; Volume 17, Issue 1 , 2017 ; 14248220 (ISSN) Mokhlespour Esfahani, M. I ; Zobeiri, O ; Moshiri, B ; Narimani, R ; Mehravar, M ; Rashedi, E ; Parnianpour, M ; Sharif University of Technology
    MDPI AG  2017
    Human movement analysis is an important part of biomechanics and rehabilitation, for which many measurement systems are introduced. Among these, wearable devices have substantial biomedical applications, primarily since they can be implemented both in indoor and outdoor applications. In this study, a Trunk Motion System (TMS) using printed Body‐Worn Sensors (BWS) is designed and developed. TMS can measure three‐dimensional (3D) trunk motions, is lightweight, and is a portable and non‐invasive system. After the recognition of sensor locations, twelve BWSs were printed on stretchable clothing with the purpose of measuring the 3D trunk movements. To integrate BWSs data, a neural network data... 

    Metabolic load comparison between the quarters of a game in elite male basketball players using sport metabolomics

    , Article European Journal of Sport Science ; Volume 21, Issue 7 , 2021 , Pages 1022-1034 ; 17461391 (ISSN) Khoramipour, K ; Gaeini, A. A ; Shirzad, E ; Gilany, K ; Chashniam, S ; Sandbakk, Ø ; Sharif University of Technology
    Taylor and Francis Ltd  2021
    Purpose: A basketball match is characterized by intermittent high-intensity activities, thereby relying extensively on both aerobic and anaerobic metabolic pathways. Here, we aimed to compare the metabolic fluctuations between the four 10-min quarters of high-level basketball games using metabolomics analyses. Methods: 70 male basketball players with at least 3 years of experience in the Iran national top-league participated. Before and after each quarter, saliva samples were taken for subsequent untargeted metabolomics analyses, where Principal component analysis (PCA) and Partial least squares-discriminant analysis (PLS-DA) were employed for statistical analysis. Results: Quarters 1 and 3... 

    Task-specific modulation of PFC activity for matching-rule governed decision-making

    , Article Brain Structure and Function ; Volume 226, Issue 2 , 2021 , Pages 443-455 ; 18632653 (ISSN) Parto Dezfouli, M ; Zarei, M ; Constantinidis, C ; Daliri, M. R ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Storing information from incoming stimuli in working memory (WM) is essential for decision-making. The prefrontal cortex (PFC) plays a key role to support this process. Previous studies have characterized different neuronal populations in the PFC for working memory judgements based on whether an originally presented stimulus matches a subsequently presented one (matching-rule decision-making). However, much remains to be understood about this mechanism at the population level of PFC neurons. Here, we hypothesized differences in processing of feature vs. spatial WM within the PFC during a matching-rule decision-making task. To test this hypothesis, the modulation of neural activity within the... 

    Applicaton of warrant for Installation of Protected Left-Turn Phase at Signalized Intersections

    , M.Sc. Thesis Sharif University of Technology Kamkari, Mahshid (Author) ; Nassiri, Habibollah (Supervisor)
    Left-turn operation is a critical component in the safe and efficient operation of a signalized intersection. The proper type of left-turn phasing results in reduction of traffic delay and number of accidents. A review of the literature indicates that different warrants have been proposed for the installation of the protected left-turn phase; however, there is not a consensus to implement a specific warrant up to the present. In general, the warrants fall into four categories: traffic volume, operational characteristics of traffic, intersection geometrics and accident experiences. Considering the high rate of accidents resulting from left-turn movements at signalized intersections in Iran,... 

    Development of a Neuro-muscular Model for Stroke Patient in Reaching Motion and Experimental Evaluation

    , M.Sc. Thesis Sharif University of Technology Nikzad Goltapeh, Akbar (Author) ; Behzadipour, Saeed (Supervisor)
    Paralysis is one of the most common disabilities resulting from stroke. Usually injury to one hemisphere of the brain affects the opposite side of the body. This one-sided paralysis is called hemiplegia Damage to a lower part of the brain, the cerebellum, can affect the body's ability to coordinate movement, a disability called ataxia, leading to problems with body posture, walking, and balance. Reaching tasks are building blocks of most daily functional movements. The purpose of such a movement is to transfer a specific point of hand (e.g. fingertip) toward a special location in space around. In people with ataxia, trajectories of reaching movements are far different from healthy people in... 

    Event Driven Camera Based Eye Tracking

    , M.Sc. Thesis Sharif University of Technology Tajrobehkar, Mitra (Author) ; Jahed, Mehran (Supervisor)
    Robust detection of human eye has attracted interest during the past decade. Certain research studies have focused on the capability of determining the location of the human eyes while few have been focused on its tracking. The main task in this study is not only a system with eye detection capability but also a robust and non-intrusive eye tracker system of the eye movement using the iris as a trace element within the image captured through the camera. Such utilization is particularly applicable in diagnosing of certain abnormalities such as Autism which result in distinct abnormal movement and behavior in the eyes. Proposed eye tracker algorithm was implemented using the Kalman filter. The... 

    Predator Effects on the Stability of Collective Motions of Self-Propelled Particles

    , M.Sc. Thesis Sharif University of Technology Goddoosi Dehnavi, Parviz (Author) ; Jalali, Mir Abbas (Supervisor)
    The design and control of collective robots for different purposes has been one of the most interesting subjects in recent years. Interacting particles (both in engineering and nature) can not only be self-organized, but also show a myriad of amazing features. A lot of different types of collective motion can be seen in nature (like fishes, birds, bacteria, insects, to name but a few) which interacting with each other to form complicated patterns with ingenious purpose like foraging, predator escaping and so forth. Understanding these natural phenomena (like vortex formation) can be helpful in designing artificial systems, the usage of which are underwater or space vehicles performing a... 

    Simulation of movement in three-dimensional musculoskeletal human lumbar spine using directional encoding-based neurocontrollers

    , Article Journal of Biomechanical Engineering ; Vol. 136, issue. 9 , 2014 Nasseroleslami, B ; Vossoughi, G ; Boroushaki, M ; Parnianpour, M ; Sharif University of Technology
    Despite development of accurate musculoskeletal models for human lumbar spine, the methods for prediction of muscle activity patterns in movements lack proper association with corresponding sensorimotor integrations. This paper uses the directional information of the Jacobian of the musculoskeletal system to orchestrate adaptive critic-based fuzzy neural controller modules for controlling a complex nonlinear redundant musculoskeletal system. The proposed controller is used to control a 3D 3-degree of freedom (DOF) musculoskeletal model of trunk, actuated by 18 muscles. The controller is capable of learning to control from sensory information, without relying on pre-assumed model parameters.... 

    Selection of efficient features for discrimination of hand movements from MEG using a BCI competition IV data set

    , Article Frontiers in Neuroscience ; Issue APR , 2012 ; 16624548 (ISSN) Sardouie, S. H ; Shamsollahi, M. B ; Sharif University of Technology
    The aim of a brain-computer interface (BCI) system is to establish a new communication system that translates human intentions, reflected by measures of brain signals such as magnetoencephalogram (MEG), into a control signal for an output device. In this paper, an algorithm is proposed for discriminating MEG signals, which were recorded during hand movements in four directions. These signals were presented as data set 3 of BCI competition IV. The proposed algorithm has four main stages: pre-processing, primary feature extraction, the selection of efficient features, and classification. The classification stage was a combination of linear SVM and linear discriminant analysis classifiers. The... 

    Euclidean movement minimization

    , Article Journal of Combinatorial Optimization ; Volume 32, Issue 2 , 2016 , Pages 354-367 ; 13826905 (ISSN) Anari, N ; Fazli, M. A ; Ghodsi, M ; Safari, M. A ; Sharif University of Technology
    Springer New York LLC 
    We consider a class of optimization problems called movement minimization on euclidean plane. Given a set of m nodes on the plane, the aim is to achieve some specific property by minimum movement of the nodes. We consider two specific properties, namely the connectivity (Con) and realization of a given topology (Topol). By minimum movement, we mean either the sum of all movements (Sum) or the maximum movement (Max). We obtain several approximation algorithms and some hardness results for these four problems. We obtain an O(m) -factor approximation for ConMax and ConSum and extend some known result on graphical grounds and obtain inapproximability results on the geometrical grounds. For the... 

    A review of thermal conductivity of various nanofluids

    , Article Journal of Molecular Liquids ; Volume 265 , 2018 , Pages 181-188 ; 01677322 (ISSN) Ahmadi, M. H ; Mirlohi, A ; Alhuyi Nazari, M ; Ghasempour, R ; Sharif University of Technology
    In the present paper, several experimental and theoretical studies conducted on the thermal conductivity of nanofluids are represented and investigated. Based on the reviewed studies, various factors affect thermal conductivity of nanofluids such as temperature, the shape of nanoparticles, concentration and etc. Results indicated the increase in temperature and concentration of nanoparticles usually leads to the higher thermal conductivity of nanofluids. In addition, it is concluded that there are some novel approaches in order to obtain nanofluids with more appropriate thermal properties including using binary fluids as the base fluid or utilizing hybrid nanofluids. © 2018 Elsevier B.V