Dr. Md Mozasser Rahman currently is an Associate Professor in the Department of Mechatronics Engineering, International Islamic University Malaysia (IIUM). Dr. Mozasser received B. Sc. Eng. (Mechanical) degree from Bangladesh Institute of Technology (BIT) Khulna in 1988. After graduation he worked for same institute as a lecturer. He was later conferred M. Eng. and Ph. D. from Mie University, Japan, in 2000 and 2003, in Mechanical Engineering and System Engineering, respectively. Dr. Mozasser has expertise in Robotics and Industrial Automation. His research area covers human-robot cooperation, movement characteristics of human arm, artificial human organ etc. He serves as a consultant for universities and industries in the field of Industrial Automation and Robotic System. Dr. Mozasser received one academic award from JSME (Japan Society of Mechanical Engineers) and two innovation award from MTEX (Malaysian Technology Exhibition). One of his inventions is pending for patent. He published more than 50 articles and book chapters. He is also active in research group “Autonomous Systems and Robotics Research Unit” and completed five research projects. Dr. Mozasser is member of IEEE and the Institution of Mechanical Engineers (IMechE), UK and a Chartered Engineer (CEng) registered with the Engineering Council, UK. Phone: +6192362364 Address: C-12-6, PV10 Jalan Danau Saujana 2, Setapak Kuala Lumpur, 53300, Malaysia
This paper introduced a Salat Inspection and Training System based on Machine Vision and Image Pr... more This paper introduced a Salat Inspection and Training System based on Machine Vision and Image Processing Subject. In Islam, prayer (i.e., Salat) is the second pillar of Islam. It is the most important and fundamental worshipping activity that believers have to perform five times a day. From gestures’ perspective, there are predefined human postures that must be performed in a precise manner. There are lots of materials on the Internet and social media for training and correction purposes. However, some people do not perform these postures correctly due to being new to salat or even having learned prayers incorrectly. Furthermore, the time spent in each posture has to be balanced. To address these issues, we propose to develop an assistive intelligence framework that guides worshippers to evaluate the correctness of their prayer’s postures. Many features of images are being extracted and analyzed. Methods for image comparison and pattern matching are used to study the system’s effectiveness by using several combining algorithms, such as Euclidean Distance, Template Matching and Grey-Level Correlation, to compare the images of the user and the database. The experiments’ results, both correct and incorrect salat performances, are shown via pictures and graph for each of the postures of salat. Limitations of the system, such as lighting, is discussed regarding how it affects the system’s performance.
Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to... more Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to distinguish the significance of its EMG response but yet its control feasibility has been proven by many research. In this paper, the feasibility of EMG based artificial hand utilizing conventional EMG sensor was put into study. Instead of performing complex processing which may exponentially increase the cost of EMG artificial hand, the concept proposed in this paper, utilizes simple threshold activation key. The rest of the control specification is dealt with force sensor feedback. From this study, it is proven that using conventional EMG sensor to control an artificial hand is feasible to perform simple task. However, further study is required to enhance the reliability of the system.
This paper presented the development of sensory system for detection of both the presence and the... more This paper presented the development of sensory system for detection of both the presence and the location of human in a room spaces using MEMS Thermal sensor. The system is able to detect the surface temperature of occupants by a non-contact detection at the maximum of 6 meters far. It can be integrated to any swing type of electrical appliances such as standing fan or a similar devices. Differentiating human from other moving and or static object by heat variable is nearly impossible since human, animals and electrical appliances produce heat. The uncontrollable heat properties which can change and transfer will add to the detection issue. Integrating the low cost MEMS based thermal sensor can solve the first of human sensing problem by its ability to detect human in stationary. Further discrimination and analysis must therefore be made to the measured temperature data to distinguish human from other objects. In this project, the fan is properly designed and program in such a way that it can adapt to different events starting from the human sensing stage to its dynamic and mechanical moving parts. Up to this stage initial testing to the Omron D6T microelectromechanical thermal sensor is currently under several experimental stages. Experimental result of the sensor tested on stationary and motion state of human are behaviorally differentiable and successfully locate the human position by detecting the maximum temperature of each sensor reading.
Advances in Robot Kinematics: Analysis and Control, 1998
Abstract: In this paper we present a uni ed approach for solving the inverse kinematics problem o... more Abstract: In this paper we present a uni ed approach for solving the inverse kinematics problem of an arbitrary robotic manipulator based on Genetic Algorithms. The tness function we use in our algorithm does a multi-objective optimization satisfying both the position ...
2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation, 2013
Mimicking human arm motion has become a challenging topic for the researchers among the field of ... more Mimicking human arm motion has become a challenging topic for the researchers among the field of Human rehabilitation, motor control and perception, biomechanics, and several other related research topics. Considering human-robot cooperation, this paper is focused on modeling human arm while performing planner motion. In this work human arm is assumed as a mass-spring-damper system and based on this assumption the related mathematical model is developed. The desired movement in this study is one of the daily activities with obstacle. Mathematical model is developed with the help of the robotic principle, mechanical system analysis method, and also with the help of biological data. The kinematic and dynamic data is then analyzed. In this work kinematic data are taken from the ShapTape® device. The different components of the position, velocity and acceleration are compared. Besides, the analysis of the simulated torques is done. MATLAB is used for the simulation. These observations are expected to give several ideas for designing a controller for upper limb exoskeleton for rehabilitation purposes.
2009 12th International Conference on Computers and Information Technology, 2009
Abstract The Robot, named as TRAIN WALL BOT, is designed to navigate on smooth vertical surfaces ... more Abstract The Robot, named as TRAIN WALL BOT, is designed to navigate on smooth vertical surfaces with the capability to avoid obstacles and overcome if the height is about Icm. The design is inspired from train steel wheel movement that contains two actuated legs with rotary ...
This paper introduced a Salat Inspection and Training System based on Machine Vision and Image Pr... more This paper introduced a Salat Inspection and Training System based on Machine Vision and Image Processing Subject. In Islam, prayer (i.e., Salat) is the second pillar of Islam. It is the most important and fundamental worshipping activity that believers have to perform five times a day. From gestures’ perspective, there are predefined human postures that must be performed in a precise manner. There are lots of materials on the Internet and social media for training and correction purposes. However, some people do not perform these postures correctly due to being new to salat or even having learned prayers incorrectly. Furthermore, the time spent in each posture has to be balanced. To address these issues, we propose to develop an assistive intelligence framework that guides worshippers to evaluate the correctness of their prayer’s postures. Many features of images are being extracted and analyzed. Methods for image comparison and pattern matching are used to study the system’s effectiveness by using several combining algorithms, such as Euclidean Distance, Template Matching and Grey-Level Correlation, to compare the images of the user and the database. The experiments’ results, both correct and incorrect salat performances, are shown via pictures and graph for each of the postures of salat. Limitations of the system, such as lighting, is discussed regarding how it affects the system’s performance.
Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to... more Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to distinguish the significance of its EMG response but yet its control feasibility has been proven by many research. In this paper, the feasibility of EMG based artificial hand utilizing conventional EMG sensor was put into study. Instead of performing complex processing which may exponentially increase the cost of EMG artificial hand, the concept proposed in this paper, utilizes simple threshold activation key. The rest of the control specification is dealt with force sensor feedback. From this study, it is proven that using conventional EMG sensor to control an artificial hand is feasible to perform simple task. However, further study is required to enhance the reliability of the system.
This paper presented the development of sensory system for detection of both the presence and the... more This paper presented the development of sensory system for detection of both the presence and the location of human in a room spaces using MEMS Thermal sensor. The system is able to detect the surface temperature of occupants by a non-contact detection at the maximum of 6 meters far. It can be integrated to any swing type of electrical appliances such as standing fan or a similar devices. Differentiating human from other moving and or static object by heat variable is nearly impossible since human, animals and electrical appliances produce heat. The uncontrollable heat properties which can change and transfer will add to the detection issue. Integrating the low cost MEMS based thermal sensor can solve the first of human sensing problem by its ability to detect human in stationary. Further discrimination and analysis must therefore be made to the measured temperature data to distinguish human from other objects. In this project, the fan is properly designed and program in such a way that it can adapt to different events starting from the human sensing stage to its dynamic and mechanical moving parts. Up to this stage initial testing to the Omron D6T microelectromechanical thermal sensor is currently under several experimental stages. Experimental result of the sensor tested on stationary and motion state of human are behaviorally differentiable and successfully locate the human position by detecting the maximum temperature of each sensor reading.
Advances in Robot Kinematics: Analysis and Control, 1998
Abstract: In this paper we present a uni ed approach for solving the inverse kinematics problem o... more Abstract: In this paper we present a uni ed approach for solving the inverse kinematics problem of an arbitrary robotic manipulator based on Genetic Algorithms. The tness function we use in our algorithm does a multi-objective optimization satisfying both the position ...
2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation, 2013
Mimicking human arm motion has become a challenging topic for the researchers among the field of ... more Mimicking human arm motion has become a challenging topic for the researchers among the field of Human rehabilitation, motor control and perception, biomechanics, and several other related research topics. Considering human-robot cooperation, this paper is focused on modeling human arm while performing planner motion. In this work human arm is assumed as a mass-spring-damper system and based on this assumption the related mathematical model is developed. The desired movement in this study is one of the daily activities with obstacle. Mathematical model is developed with the help of the robotic principle, mechanical system analysis method, and also with the help of biological data. The kinematic and dynamic data is then analyzed. In this work kinematic data are taken from the ShapTape® device. The different components of the position, velocity and acceleration are compared. Besides, the analysis of the simulated torques is done. MATLAB is used for the simulation. These observations are expected to give several ideas for designing a controller for upper limb exoskeleton for rehabilitation purposes.
2009 12th International Conference on Computers and Information Technology, 2009
Abstract The Robot, named as TRAIN WALL BOT, is designed to navigate on smooth vertical surfaces ... more Abstract The Robot, named as TRAIN WALL BOT, is designed to navigate on smooth vertical surfaces with the capability to avoid obstacles and overcome if the height is about Icm. The design is inspired from train steel wheel movement that contains two actuated legs with rotary ...
Uploads
Papers by Md Mozasser Rahman