Search for: hand
Total 97 records
Global trends of hand and wrist trauma: A systematic analysis of fracture and digit amputation using the Global Burden of Disease 2017 Study, Article Injury Prevention ; 2020 ; Massenburg, B.B ; Morrison, S.D ; Chang, J ; Friedrich, J.B ; Abady, G.G ; Alahdab, F ; Alipour, V ; Arabloo, J ; Asaad, M ; Banach, M ; Bijani, A ; Borzì, A.M ; Briko, N.I ; Castle, C.D ; Cho, D.Y ; Chung, M.T ; Daryani, A ; Demoz, G.T ; Dingels, Z.V ; Do, H.T ; Fischer, F ; Fox, J.T ; Fukumoto, T ; Gebre, A.K ; Gebremichael, B ; Haagsma, J.A ; Haj-Mirzaian, A ; Handiso, D.W ; Hay, S.I ; Hoang, C.L ; Irvani, S.S.N ; Jozwiak, J.J ; Kalhor, R ; Kasaeian, A ; Khader, Y.S ; Khalilov, R ; Khan, E.A ; Khundkar, R ; Kisa, S ; Kisa, A ; Liu, Z ; Majdan, M ; Manafi, N ; Manafi, A ; Manda, A.-L ; Meretoja, T.J ; Miller, T.R ; Mohammadian Hafshejani, A ; Mohammadpourhodki, R ; Mohseni Bandpei, M.A ; Mokdad, A.H ; Naimzada, M.D ; Ndwandwe, D.E ; Nguyen, C.T ; Nguyen, H.L.T ; Olagunju, A.T ; Olagunju, T.O ; Pham, H.Q ; Pribadi, D.R.A ; Rabiee, N ; Ramezanzadeh, K ; Ranganathan, K ; Roberts, N.L.S ; Roever, L ; Safari, S ; Samy, A.M ; Sanchez Riera, L ; Shahabi, S ; Smarandache, C.-G ; Sylte, D.O ; Tesfay, B.E ; Tran, B.X ; Ullah, I ; Vahedi, P ; Vahedian Azimi, A ; Vos, T ; Woldeyes, D. H ; Wondmieneh, A. B ; Zhang, Z. J ; James, S. L ; Sharif University of Technology
BMJ Publishing Group 2020
Background: As global rates of mortality decrease, rates of non-fatal injury have increased, particularly in low Socio-demographic Index (SDI) nations. We hypothesised this global pattern of non-fatal injury would be demonstrated in regard to bony hand and wrist trauma over the 27-year study period. Methods: The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 was used to estimate prevalence, age-standardised incidence and years lived with disability for hand trauma in 195 countries from 1990 to 2017. Individual injuries included hand and wrist fractures, thumb amputations and non-thumb digit amputations. Results: The global incidence of hand trauma has only modestly...
Article Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2012 ; 2012 , Pages 17-22 ; 9780889869219 (ISBN) ; Jahed, M ; Sharif University of Technology
ACTA Press 2012
Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In this work, we introduce a 3-D hand motion recognition. We use 3-D landmarked points on finger tips and joints followed by a HMM (Hidden Markov Model) to recognize hand motions. Experimentally, in an effort to evaluate the formation of hand gestures similar to those used in rehabilitation sessions, we studied three hand motions. Using natural hand motion features in an uncontrolled environment, we were able to classify, differentiate and quantify...
Article 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010, 26 February 2010 through 28 February 2010, Singapore ; Volume 5 , 2010 , Pages 545-549 ; 9781424455850 (ISBN) ; Jahed, M ; Sharif University of Technology
The use of human hand gestures as a natural interface tool has motivated researchers to conduct research in the modeling, analyzing and recognition of various hand movements. In particular, human computer intelligent interaction has been a focus for research in vision-based gesture recognition. In this work, we introduce a 3D hand model reconstruction method which offers flexible and elaborate representation of hand gestures. We used 20 landmarked points on tips and joints of the fingers and calculated the 3D coordinates of these points through a stereo vision system. Our results show that such reconstruction provides a precise 3D hand model only to be influenced by intrinsic and extrinsic...
M.Sc. Thesis Sharif University of Technology ; Manzuri Shalmani, Mohammad Tghi
Dynamic hand gesture is an efficient approach used in Human Computer Interaction (HCI). The goal is to recognize and analyze the different hand gestures in a recorded video. There are some associated challenges such as video noises, illumination changes, rotation variance, hand occlusion which make the process more complicated.To do the research we used five different gestures out of the Sheffield hand gesture dataset which is collected from six persons under three different backgrounds and two illumination conditions. This procedure needs image processing in order to detect and segment the important parts involved in images such as hands and analyzing the changes and motions of them. We...
Article Journal of Electromagnetic Waves and Applications ; Volume 26, Issue 7 , 2012 , Pages 914-922 ; 09205071 (ISSN) ; Komjani, N ; Rejaei, B ; Sharif University of Technology
This paper proposes, for the first time, a tunable left handed transmission line consisting of a strip line sandwiched between a ferrite superstrate and a dielectric substrate containing a metallic wire array. The left-handed behavior is realized by combining the negative permittivity of the wire array with the negative permeability of the longitudinally magnetized ferrite substrate despite them being spatially separated. Theoretical and numerical results demonstrate the tunability of the left-handed frequency band by changing the DC bias magnetic field applied to the ferrite. Compared to other tunable lefthanded structures, the fabrication requirements on this structure are not critical,...
M.Sc. Thesis Sharif University of Technology ; Bagheri Shouraki, Saeed
Due to diversity in amputation possibilities, this thesis focuses on the specific case of ring finger amputation with some amount of stomp remaining. The goal is to design a robotic finger as a prosthetic, which its flexion and extension (position control) are instructed from an armband. The armband is equipped with 8 force sensors to detect volume variations in patient’s forearm. Its embedded microcontroller processes signals taken from these sensors, and using machine learning techniques (K-Nearest Regressor), decides on a specific angle for the finger. This angle value updates constantly, and using a flex sensor and a DC motor in finger, the desired flexion/extension is performed....
M.Sc. Thesis Sharif University of Technology ; Sayyaadi, Hassan
In this study, we create an evolution function that assesses prosthetic hands in terms of their ability to grasp various objects like a human hand. It is required to evaluate the reachable workspace of prosthetic hands and grasp ability to assess it completely. The first one can be done by using forward kinematics. The Volume of the Grasp Wrench space, one of the grasp qualities indexes, is used to measure the second one. Randomization and grasp taxonomy are used to generalize the grasp quality to indicate the prosthetic hand functionality. Afterward, the created evaluation function is used to specify the importance of each finger and DOF. The results show that the most significant finger is...
M.Sc. Thesis Sharif University of Technology ; Taheri, Alireza ; Vossoughi, Gholamreza
The hand is an important part of the human body, the loss of all or part of it greatly reduces a person's ability to perform daily tasks. For people who have lost this significant organ, replacing it with an artificial limb that can meet some of their needs is essential. Today, all robotic prostheses use electromyographic (EMG) signals from the remaining muscles of the disabled limb as input signals. Classifying the EMG signal and converting it to a control signal faces serious challenges. Variation of signal properties over time, electrode slippage, muscle fatigue, changes in muscle contraction intensity, and changes in limb position and direction are some of these challenges. Therefore, a...
Article Visual Computer ; 2021 ; 01782789 (ISSN) ; Seyedarabi, H ; Mozaffari Tazehkand, B ; Kasaei, S ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH 2021
Hand pose estimation is one of the most attractive research areas for image processing. Among the human body parts, hands are particularly important for human–machine interactions. The advent of commercial depth cameras along with the rapid growth of deep learning has made great progress in all image processing fields, especially in hand pose estimation. In this study, using depth data, we introduce two hybrid deep neural networks to estimate 3D hand poses with fewer computations and higher accuracy compared with their counterparts. Due to the fact that the dimensions of data are reduced while passing through successive layers of networks, which causes data to be lost, we use the concept of...
M.Sc. Thesis Sharif University of Technology ; Zohoor, Hassan
The application of manipulators is becoming more and more popular in objects handling especially when it is desired to have access to remote areas in destructive or hazardous taskspaces. For this purpose, a hand-like mechanism must be designed to be used as an end-effector, which can grasp objects. In this paper a cable driven grasping mechanism has been presented. In the proposed mechanism each finger consists of three phalanxes which are actuated by a single motor. Also, locking and unlocking constraints are used in the mechanism in order to generate an anthropomorphic motion, in which, the order of reaching phalanxes to the object is sequential, in such a way that each phalanx starts...
M.Sc. Thesis Sharif University of Technology ; Farahmand, Farzam ; Movahedi, Mohammad Reza
All humanare subject to a physiligical phenomenon known as tremor, which introduces unintended, relatively high frequency movments into various limbs. This involuntary movment is main reason of human disability in doing of precision tasks. Precision surgery like eye surgery is among them that surgeons must have very ittle tremor to enable them to oprate on the small anatomy of the eye. In this reaearch by emphasizing on reduction of muscle fatigue in precision surgery, weight balancing mechanism designed and analyzed. Fatigue is most important cause of tremor, thus we expected tremor amplitude reduce by reduction of muscle fatigue. Purpose mechanism is passive mechanism that balances the...
M.Sc. Thesis Sharif University of Technology ; Kharrazi, Mehdi
The increasing use of the Internet as the main communications method, has increased the importance of user privacy and the security of their information. Different protocols and different methods have been proposed to provide security, but sometimes they are used to violate the network’s obligations. Increasing the users’ privacy and security, leads to the reduction of the network administrators power to control and manage the network, and this can create vulnerabilities which could be exploited by attackers to violate usage policies. Traffic analysis can be used by administrators to collect information from their network, without having to prohibit the use of security protocols. Different...
Design and Prototype of a Diagnostic Laparoscopic Instrument Capable of Measuring Characteristics of Living Tissues During Surgery, M.Sc. Thesis Sharif University of Technology ; Farahmand, Farzam
in laparoscopic surgeries, act zone tissues are not directly palpable for the surgeon. Therefore, evaluating the mechanical behavior of the tissue and distinguishing healthiness or illness of that, are not achievable for the surgeon. In this treatise, the matter of discerning the soft and bulky tissues mechanical properties by a robotic arm during the laparoscopic surgery, is regarded. In first step, a tool like a two finger miniature hand was designed in which either of fingers have utilized a parallelogram mechanism for opening and closing. The dimensional design of the mechanism was undertake in away that the tool has the ability of going through a 10mm diameter path and grabbling and...
M.Sc. Thesis Sharif University of Technology ; Vosughi Vahdat, Bijan
The main idea in this project is investigation of multidimensional recording brain signal (ECoG) for estimation of 3D arm trajectory. First we introduce a general structure with variable blocks, in this structure we have many ways to estimate hand trajectory and obtain different result. By statistical test we find the best state of this structure and apply it on other dtae set trials. Electrocorticography (ECoG) has seen recent use in this regard because it offers a higher spatiotemporal resolution than non-invasive EEG and is less invasive than intracortical microelectrodes and have been shown to contain reliable information about the direction of arm Trajectory and movements. We using...
M.Sc. Thesis Sharif University of Technology ; Ghafari, Ali ; Meghdari, Ali
The main goal of this thesis is the design and development of a rehabilitation device for helping patients “to improve blood circulation” & retain and recover their abilities if possible that were lost during the stroke or a accident like that (my research in karaj/iran shows that it is possible by just movement of the specific body part). The focus is on hand in this thesis because Injuries to the hand are common and can be very debilitating since our hands are our primary means for interacting with our world. For rehabilitation in case of human hand there are several practices that should be done for patients either in home or in a rehabilitation center, time and money that is supposed to...
Article Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference ; 2009 , Pages 5026-5029 ; 1557170X (ISSN) ; Mirbagheri, A ; Taheri, B ; Farahmand, F ; Vossoughi, G. R ; Parnianpour, M ; Sharif University of Technology
Robot-mediated rehabilitation is a rapidly advancing discipline that seeks to develop improved treatment procedures using new technologies, e.g., robotics, coupled with modern theories in neuroscience and rehabilitation. A robotic device was designed and developed for rehabilitation of upper limbs of post stroke patients. A novel force feedback bimanual working mode provided real-time dynamic sensation of the paretic hand. Results of the preliminary clinical tests revealed a quantitative evaluation of the patient's level of paresis and disability
Tunable Stopband HTS Josephson Junction Left-Handed Transmission Line with Independently Biasable Unit Cells, Article IEEE Transactions on Applied Superconductivity ; Volume 30, Issue 1 , 2020 ; Rejaei, B ; Fardmanesh, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2020
A practical coplanar Josephson junction left-handed transmission line based on a step-edge junction technique is proposed in high-temperature superconductor technology and analyzed by electromagnetic simulations. The layout is designed for monolayer Yttrium Barium Copper Oxide thin film fabrication process. The propagation stopbands are tunable by controlling bias currents of Josephson junction arrays acting as parallel inductors for unit cells of the transmission line. Unlike the reported designs, each unit cell of our left-handed transmission line is independently biasable due to dc isolation of the unit cells along the transmission line. Being individually biasable is practically...
Optimal sequence of inter-generational borrowing and lending leading to escape from the poverty trap through an Invisible Hand, Article Computational Economics ; Volume 15, Issue 3 , 2000 , Pages 251-272 ; 09277099 (ISSN) ; Sharif University of Technology
Springer Netherlands 2000
The overlapping generations (OLG) model of micro-based macroeconomics has been utilized in order to calculate the optimal sequence of inter-generational transfer payments and evaluate its effects on the operation of an economy which suffers from the poverty trap. Each generation has been assumed to live for two periods and aims to find the optimal relationship between its borrowing from the previous generation and its lending to the next generation so that its discounted utility function is maximized. This optimization is subjected to budget constraints, the competitiveness of labor and capital markets and the equilibrium condition of savings and capital. Individuals in all of the...
M.Sc. Thesis Sharif University of Technology ; Jamzad, Mansour
Sign Language Recognition using cameras is an alternative way of human communication with personal computers. These systems don’t need to use keyboard. They are used when touching keyboard is not possible or for what ever reason, when we don’t want to use keyboard. In this problem the person shows one of the alphabets with his hand and we capture and process that in real-time to recognize the letter. The problem of previous works in this area are the decreasing rate of detection in condition where the angle of sign and viewer changes. The purpose of our work is getting better result by using depth image from Kinect. We use Pugeault and Bowden dataset (that has fingerspelling sign in multiple...
M.Sc. Thesis Sharif University of Technology ; Mehrany, Khashayar ; Fakharzadeh, Mohammad
In this thesis, study of some kinds of dual band transmission lines and structures are investigated. Attention to 3 important kinds, CRLH, SCRLH and the equal phase line are introduced and the formulations of each one are derived and considered. Also the method of designing these lines are attached. These lines form a complete category that makes the ability of designing all kind of dual band line with arbitrary frequencies and result phases with arbitrary non-integer ratio less or more than 1. Also an important attention is paid for the designing these lines in the microstrip configuration. Various kinds of Dual band structures are proposed at the last part of the introducing each lines....