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vossoughi--gholamreza
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Total 63 records
Design and Manufacturing of an Exoskeleton Mechanism for Lower Limbs with Active and Semi-Passive Joints According to Biomechanical Principles
, M.Sc. Thesis Sharif University of Technology ; Zohoor, Hassan (Supervisor) ; Firoozbakhsh, Keikhosrow (Co-Advisor) ; Vossoughi, Gholamreza (Co-Advisor)
Abstract
Today, people living in all over the world are faced with the arrival of Biomechanics and Human need of rehabilitation equipment is growing. Wearable robots have created a new field in service robots’ world. Unlike industrial robots, these robots are strongly interacting with humans. Physical interaction between humans and robots considered one of the exciting and challenging research topics. With attention to this issue, research projects have been started in the department of mechanical engineering of Sharif University of technology to design, manufacture and control a wearable robot with few degrees of freedom used in the lower joints. In this thesis, initially focused on the conceptual...
A Sensor-Based Approach to Sign Language Recognition Using Hidden Markov Model
,
M.Sc. Thesis
Sharif University of Technology
;
Shamsollahi, Mohammad Bagher
(Supervisor)
;
Vossoughi, Gholamreza
(Co-Advisor)
Abstract
Sign language is the first and most important communication way between hearing impaired community, but the biggest issue within them is simply that most of them can't effectively communicate with most hearing people. If sign language can be translated to text or speech automatically, deaf people will be able to communicate with all the others. Sign language contains more than six thousands signs, in which, deaf people make use of hands and sometimes facial expression to do that. So far, three main approaches have been used to recognize posture and position of hand: 1) vision-based: using images of 1-3 camera(s), based on image processing; 2) glove-based: using sensory glove(s) and motion...
Towards Estimation of Trunk Muscle Forces with a Bio-Inspired Control Strategy of Neuro-Osteoligamentous Finite Element Lumbar Spine Model
, M.Sc. Thesis Sharif University of Technology ; Arjmand, Navid (Supervisor) ; Vossoughi, Gholamreza (Supervisor) ; Parnianpour, Mohamad (Co-Supervisor)
Abstract
Low back pain (LBP), the leading cause of disability worldwide, remains one of the most common and challenging occupational musculoskeletal disorders. The effective assessment of LBP injury risk, and the design of appropriate treatment modalities and rehabilitation protocols, require accurate estimation of the mechanical spinal loads during different activities. This study aimed to: 1) develop a novel 2D beam-column finite element control-based model of the lumbar spine and compare its predictions for muscle forces and spinal loads to those resulting from a geometrically-matched equilibrium-based model; 2) test, using the foregoing control-based finite element model, the validity of the...