Bukhari Iliashttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/329042024-03-28T15:33:27Z2024-03-28T15:33:27ZHospital nurse following robot: hardware development and sensor integrationBukhari, IliasRamachandran, Nagarajan, Prof. Dr.Murugappan, M., Dr.Khaled, Helmy, Dr.Awang Sabri, Awang OmarMuhammad Asyraf, Abdul Rahmanhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/352952014-06-10T03:44:54Z2014-01-01T00:00:00ZHospital nurse following robot: hardware development and sensor integration
Bukhari, Ilias; Ramachandran, Nagarajan, Prof. Dr.; Murugappan, M., Dr.; Khaled, Helmy, Dr.; Awang Sabri, Awang Omar; Muhammad Asyraf, Abdul Rahman
Hospital nurse regularly bring her instrument to the patient using cart. They need to push or pull the cart to the patient bed and bring it back many times in a day. This can be tiresome for nurses because they need to treat many patients in the hospital. This research is mainly to solve this problem by constructing a mobile robot for nurses that is able to follow and carry the medical equipment and at the same time perform obstacle avoidance. The designed robot has ability to move in and out at constricted space and is able to avoid any obstacles either static or dynamic. This robot can carry a load of 20 kg and used dc geared motor to move. The mobile platform is able to rotate at axial axis with the construction of special wheel and the placement of the motor. A suitable ultrasonic sensor bank is selected so that robot can detect obstacle around the mobile platform and avoid the obstacle. The robot control and obstacle avoidance system is designed by adopting the facilities of Basic ATOM microcontroller for better performance.
Link to publisher's homepage at http://www.inderscience.com
2014-01-01T00:00:00ZFacial expression based computer cursor control system for assisting physically disabled personBukhari, IliasVasanthan, MNagarajan, RMurugappan, MLetchumikanth, Jhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/334442014-05-02T08:08:47Z2012-01-01T00:00:00ZFacial expression based computer cursor control system for assisting physically disabled person
Bukhari, Ilias; Vasanthan, M; Nagarajan, R; Murugappan, M; Letchumikanth, J
Recent years, several researchers are developingc different kinds of assistive devices for physically disabled peoples. In this work, movement of illuminant markers through facial expressions is used to control the cursor movement in computer applications. A set of five facial expressions namely left and right cheek movement, eye brow rise and down and mouth open are used for controlling cursor movement in left and right direction, up and down and click, respectively. Four very small luminous stickers are fixed on subject’s face and the subject is instructed to perform the above said facial expressions. Conventional web-camera is used for capturing the facial expression and sends the data into BASIC STAMP microcontroller through serial port interfacing. Movements of markers are detected through its x-y coordinate’s changes on the video image and each facial expression is uniquely represented by a binary number. As a
result of change of x-y co-ordinates, the BASIC STAMP microcontroller sends the binary code to the computer for controlling the mouse actions.
.
Proceedings of IEEE International Conference on Communication, Networks and Satellite (COMNETSAT 2012) at Bali, Indonesia on 12 July 2012 through 14 July 2012.
2012-01-01T00:00:00ZA comparative study of wavelet families for classification of wrist motionsMuthusamy, HariharanChong, Yen FookSindhu, RavindranBukhari, IliasSazali, Yaacob, Prof. Dr.http://dspace.unimap.edu.my:80/xmlui/handle/123456789/264072013-07-02T08:32:57Z2012-11-01T00:00:00ZA comparative study of wavelet families for classification of wrist motions
Muthusamy, Hariharan; Chong, Yen Fook; Sindhu, Ravindran; Bukhari, Ilias; Sazali, Yaacob, Prof. Dr.
The selection of most suitable mother wavelet function is still an open research problem in various signal and image processing applications. This paper presents a comparative study of different wavelet families (Daubechies, Symlets, Coiflets, and Biorthogonal) for analysis of wrist motions from electromyography (EMG) signals. EMG signals are decomposed into three levels using discrete wavelet packet transform. From the decomposed EMG signals, root mean square (RMS) value, autoregressive (AR) model coefficients (4th order) and waveform length (WL) are extracted. Two data projection methods such as principal component analysis (PCA) and linear disciminant analysis (LDA) are used to reduce the dimensionality of the extracted features. Probabilistic neural network (PNN) and general regression neural network (GRNN) are employed to classify the different types of wrist motions, which gives a promising accuracy of above 99%. From the analysis, we inferred that 'Biorthogonal' and 'Coiflets' wavelet families are more suitable for accurate classification of EMG signals of different wrist motions.
Link to publisher's homepage at http://www.elsevier.com/
2012-11-01T00:00:00ZHospital nurse following robot: Hardware development and sensor integrationBukhari, IliasRamachandran, Nagarajan, Prof. Dr.Murugappan, M.K., HelmyA. S., Awang OmarM. A., Abdul Rahmanhttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/205852012-08-09T03:37:29Z2012-02-27T00:00:00ZHospital nurse following robot: Hardware development and sensor integration
Bukhari, Ilias; Ramachandran, Nagarajan, Prof. Dr.; Murugappan, M.; K., Helmy; A. S., Awang Omar; M. A., Abdul Rahman
Hospital nurse regularly bring her instrument to the patient
using cart. They need to push or pull the cart to the patient
bed and bring it back many times in a day. This can be a
tiresome for nurse because they need to treat many patients
in the hospital. This research is mainly to solve this problem
by constructing a mobile robot for nurse that is able to
follow and carry the medical equipment and at the same time
performs obstacle avoidance. The designed robot has ability
to move in and out at constricted space and is able to avoid
any obstacles either static or dynamic. This robot can carry
a load of 20Kg and used dc geared motor to move. The
mobile platform is able to rotate at axial axis with the
construction of special wheel and the placement of the motor.
A suitable ultrasonic sensor bank is selected so that robot
can detect obstacle around the mobile platform and avoid
the obstacle. The robot control and obstacle avoidance
system is designed by adopting the facilities of Basic ATOM
microcontroller for better performance.
International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
2012-02-27T00:00:00Z