Ahmad Faizal Salleh
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Ahmad Faizal Salleh
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Ahmad Faizal, Salleh
Alternative Name
Ahmad Faizal, S.
Salleh, A.
Salleh, Ahmad Faizal
Faizal, S. Ahmad
Mohd Salleh, A. F.
Salleh, A. F.
Salleh, Ahmad Faizal Bin
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  • Publication
    The Influence of Grasping Technique and Arm Posture on Shooting Performance in Traditional Archery
    ( 2021-01-01)
    Fitriyani N.
    ;
    Ahmad Faizal Salleh
    ;
    Mohammad Shahril Salim
    ;
    Kasim M.F.
    ;
    Nurhidayah Omar
    ;
    Maz Jamilah Masnan
    ;
    Ghazali Z.
    Traditional archery is becoming popular and has attracted many people at different age level to acquire skills and finally participate in competitive games. It differs from modern recurve archery where it could not rely on equipment for accuracy and stability. It depends on the skilled developed by the archer and adaptability to the environment for competition. Technique of archery shooting was written in many books and may require investigation to confirm their effect on performance of an archer. Therefore, this study aims to investigate the effect of arm posture and bow’s grasping techniques on the traditional archer’s shooting performance (higher score and minimal distance from bulls eye to the location where the arrow hits the target). Four experienced archers performed 5 m indoor shooting and their movement was recorded using motion capture system. The Square grasping technique resulted in more higher scores and minimal distance as compared to the other technique. Overall, the arm posture angle, Φ, did not influenced the shooting performance, except for the Oblique grasping technique.
  • Publication
    Differences on kinematic, kinetic and muscle activities between MSD and health groups for different body movements: A literature review
    ( 2023-02-21)
    Isa M.S.M.
    ;
    Nurhidayah Omar
    ;
    Ahmad Faizal Salleh
    ;
    Mohammad Shahril Salim
    The aim of this study is to review the differences on kinematic, kinetic and muscle activity parameters between the musculoskeletal disorder (MSD) group and the healthy group in everyday activities. This paper outlines the existing evidence on the differences of the kinematic, kinetic and muscle activities between participants with MSD and healthy participants during several activities. The search included Google-Scholar, Scopus, Elsevier-Science Direct and IEEE Explore, which next were separated into three categories: kinematic, kinetic and muscle activity parameters. Studies that compared movements between individuals with MSD and healthy participants were included. From the search results, we identified a total of 335 articles, 134 articles were selected. However, as this study focused only on participants with MSD, 113 articles were eliminated because those articles included participants who had injuries or diseases. Thus, the articles with non-MSD related were excluded which resulted with only 21 articles for final review. Based on the review, there were differences between MSD group and healthy group on kinematic, kinetic and muscle activity parameters. The MSD group had significantly greater hip and knee joint angles during walking and the average of all muscles in MSD group was higher than the healthy group.
  • Publication
    Smart fall detection monitoring system using wearable sensor and Raspberry Pi
    ( 2024-02-08)
    Lim Chee Chin
    ;
    Mahmud N.F.A.
    ;
    Vikneswaran Vijean
    ;
    Ali Yeon Md Shakaff
    ;
    Tan X.J.
    ;
    Ahmad Faizal Salleh
    ;
    Shafriza Nisha Basah
    The Smart Fall Detection Monitoring System is the name of the programme that monitors everyday activities and falls. It has an accelerometer sensor (ADXL345) and Raspberry Pi 3 microcontroller board to recognise and classify the patient's fall. Python programming was done on the Raspberry Pi terminal to enable communication between the accelerometer sensor and the computer. There were 10 subjects (5 males and 5 females) collected. While daily living activities include standing, squatting, walking, sitting, and lying, the data on falling includes forward falls and falls from medical beds. The K-nearest Neighbour (kNN) classifier can categorise the data of falling and non-falling (everyday living activity). The accuracy of the kNN classifier was 100% for the combined feature and (>87%) for each feature during the categorization of the falling and non-falling classes. In the meantime, multiclass classification performance for combining features and for each feature separately was >85%. kNN classifier was used to assess the feature. The feature was chosen based on the k-NN classifier's accuracy score as a percentage. For feature selection for falling and non-falling, feature (AcclX, AcclY, AngX, AngY and AngZ) in City-block distance was selected as they performed high accuracy which was 100%. The performance of the AngZ (77%) was good during the sub-classification of the sub-class dataset. As a result, all feature characteristics were chosen to be incorporated in the IoT fall detection device. The system is real-time communication for classifying fall and non-fall conditions with 100% accuracy using kNN classifier with cityblock distance.
      1
  • Publication
    Effect of Strength and Conditioning Trainings on Lower Limb Muscles Activity of High-Jumping Athletes
    ( 2021-01-01)
    Hamiza Mohamad Radzi
    ;
    Ahmad Faizal Salleh
    ;
    Norasmadi Abdul Rahim
    ;
    Mohammad Shahril Salim
    ;
    Nurhidayah Omar
    ;
    Hamzah Sakeran
    ;
    Nair S.K.
    In recent years, there has been a proliferation of technology and sport science utilized within an athlete’s physical activity and exercise. This study aims to assess the effectiveness of two strength and conditioning exercises, namely, a customized free-weight exercise and plate-loaded machine exercise, on the lower limb muscle activities of the amateur high jumpers. Six amateur high jumpers were divided into two groups, a customized free-weight group and plate-loaded machine group (control group) and performed exercises as instructed by the coach. The EMG signal of the Rectus Femoris and Bicep Femoris muscles were recorded during the exercises. Metronome was used to control the speed of the exercise and it was standardized for all subjects. The harmstring’s cable pull exercise (customized free-weight) triggered Bicep Femoris more compared to the leg curl exercise (plate-loaded exercise). Similarly, in the case of Rectus Femoris muscle, the front squat exercise (customized free-weight exercise) triggered higher muscular activities compared to the leg extension exercise (plate-loaded exercise). In conclusion, the customized free-weight exercise has indicated higher muscle activities compared to the plate-loaded exercise.
      1
  • Publication
    Biomechanical and ergonomics study of manual material handling during team lifting activity
    ( 2023-02-21)
    Latib N.L.M.
    ;
    Mohammad Shahril Salim
    ;
    Shahriman Abu Bakar
    ;
    Ahmad Faizal Salleh
    ;
    Nurhidayah Omar
    ;
    Hamzah Abdul Hamid
    ;
    Saidatul Ardeenawatie Awang
    ;
    Kamaruddin A.
    This project focused only on the joint contribution and ground reaction force that took place during the team lifting activity made up of two people. This present study hypothesized that the workplace variables such as the weight of loads, the height of load to be lifted and gender would affect the kinetics and kinematics variables. Eight healthy participants (BMI: 18.5 till 24.9 kg/m2) divided into four team where there are two groups of male and two groups of females with two individuals in each team have performed asymmetric lifting task under four different conditions which are two weights of loads (5 kg and 15 kg) and two level of lifting heights (participant knuckle and elbow height from ground). There are five Oqus cameras motion capture system (Pro Reflex infrared, Qualysis) to capture the participant motion, Qualisys Track Manager (QTM) software had been used to label the markers on participant body while the force plate had been used for data collection of ground reaction force throughout the lifting activities. The data collected from QTM converted into C3D file to be used in Visual 3D software to do bone modelling and analysis on ground reaction force, joint angle and joint moment. The results show that here was a statistically significant interaction between the effect on gender and load on joint angle, p=0.001 for hip. However, there is no statistically significant interaction between gender and load on right and left knee angle. Besides the two-way ANOVA was conducted that examine the effect of gender and load on joint moment. Thus, there is a statistically significant interaction between the effect on gender and load on joint angle, p=0.001 for all joint moment at both elbow and knuckle height. In term of ground reaction force, there was a statistically significant interaction effect between gender and load on the combined dependent variable during to-lift phase at in lifting phase position at elbow height and knuckle height, p=0.001 when using two-way MANOVA. Based on the results of this study, it was concluded that hip joint angle, hip and knee joint moment affected by gender and load while for ground reaction force are influenced by the variables of lifting height, lifting stage, gender and weight of loads.
      1
  • Publication
    The impact of tourism performance on sports industry in Thailand and Indonesia
    ( 2021-07-21)
    Mohammad Harith Amlus
    ;
    Rashid I.M.A.
    ;
    Samah I.H.A.
    ;
    Nazmizan Muhammad
    ;
    Ahmad Faizal Salleh
    ;
    Ahmad Zaidi Abdullah
    The COVID-19 epidemic has thrown Indonesia's sports calendar into confusion, with many high-profile sporting events rescheduled or postponed for the foreseeable future. Tourism is one of the greatest vital sectors pouring the Thai economy, which can constantly generate great income for Thailand and Indonesia. The number of international tourist arrivals to Thailand in 2018 reached 38.12 million people and Indonesia sport tourism received 250,000 foreign tourists in 2018. Based on an all-encompassing approach, this research has exposed that integrating various strategies for tourism expansion with sound government policies and proactive management practices have led to significant positive outcomes towards mutual success of tourism sectors of Thailand. Additionally, the paper delivers considered policy to drive long-lasting enhancements in tourism sector, exchange rate and service sectors through efficient management and intelligent utilization of resources in tourism sector. The recent shocks in provide and demand within the world aren't because of sudden economic reasons. Indeed, associated with Covid-19 that causes speedily spreading world health issues and life threats round the world coping with the social issues created by Covid-19 pandemic, they ought to not neglect the economic changes created by this pandemic. The government-ordered lockdowns have discontinuous life for billions and within the same time creates economic collapse situation. The foremost vital of those economic changes in developing countries with high fragility is exchange rates caused by sports and tourism industry, as a result of exchange rates will directly have an effect on several economics variables, from inflation to foreign trade, from the balance of payments to interests. Therefore, this analysis calculates the result of COVID-19 to sports and tourism business for affected countries within the worldwide. Thus, this study evaluated the impact tourism performance to detect the economic changes in sports industry.
  • Publication
    The economic determinants of sports industry in Malaysia
    ( 2021-07-21)
    Mohammad Harith Amlus
    ;
    Rashid I.M.A.
    ;
    Samah I.H.A.
    ;
    Nazmizan Muhammad
    ;
    Ahmad Faizal Salleh
    ;
    Ahmad Zaidi Abdullah
    Sports thought-about united of the foremost vital components in national development. Since independence in 1957, Malaysian government has place such a lot efforts and measures on sports development. Asian nation sporadically goes through periods of distress associated with sport performance. Asian nation spends plenty of cash and experience on its high performance athletes. Programs facilitate high athletes perform higher in coaching, endure injury, train the mental facet of performance, and aid athletes and coaches in alternative areas similarly. this can be cash that's well spent. Indeed, if the govt. goes to pay cash supporting sport this can be wherever these funds belong. The Malaysian tourism sector has widened its scope by venturing into extreme sports tourism. With this new development, tourism opportunities square measure created and boosting the Malaysian tourism business growth. the aim of this paper is to see the predictors of sports tourism involvement in Asian nation from the economics perspective. The recent shocks in provide and demand within the world aren't because of sudden economic reasons. Indeed, associated with Covid-19 that causes speedily spreading world health issues and life threats round the world coping with the social issues created by Covid-19 pandemic, they ought to not neglect the economic changes created by this pandemic. The government-ordered lockdowns have discontinuous life for billions and within the same time creates economic collapse situation. The foremost vital of those economic changes in developing countries with high fragility is exchange rates caused by sports and tourism industry, as a result of exchange rates will directly have an effect on several economics variables, from inflation to foreign trade, from the balance of payments to interests. Therefore, this analysis calculates the result of COVID-19 to sports and tourism business for affected countries within the worldwide. This study evaluated the impact using supply and demand curve to detect the economic changes in tourism industry. Lastly, tourism and sports sector became an intermingled strategy for several nations to get important value. Malaysia, for instance, in its National Key Economic space (NKEA) under the tourism sector indicates international sports events as a serious economic activity to push.
  • Publication
    Accelerometer-based physical fatigue assessment in 400 meter running event
    ( 2021-05-03)
    Atiya S.O.
    ;
    Ahmad Faizal Salleh
    ;
    Norasmadi Abdul Rahim
    ;
    Mohammad Shahril Salim
    ;
    Saidatul A.
    ;
    Nurhidayah Omar
    ;
    Hamzah S.
    Monitoring physical fatigue and capacity is important in high-performance environments to optimize the training stimulus and minimize unplanned physical fatigue. For that purpose, accelerometer sensors have emerged as a tool with the potential to measure and reflect changes in runner's acceleration. An accelerometer was used to measure the acceleration patterns which provided an analogue signal that could analyzed further by using different feature extractions. This research was aimed to estimate the location of physical fatigue occurrence in 400 m running. Basically, the experiments were conducted in outdoor track field, 6 subjects were involved, with age ranging between 19-24 years. In this study, two features have been used which are root mean square (RMS) and player load (PL) to indicate fatigue. The obtained results have shown that there were declines in the player load values in the last 150 m of running for most of the subjects which indicate occurrence of physical fatigue. On the other hand, some subjects have tried to save their energy in the 2nd and 3rd 100 m to speed up again in the last 100 m but there were obvious decrements in their player load in 400 m compared to the 1 100 m of running.
  • Publication
    Effect of muscle on cortical bone layer by finite element modeling
    ( 2021-05-03)
    Mohammad Shahril Salim
    ;
    Jaapar N.F.N.
    ;
    Ahmad Faizal Salleh
    ;
    Ruslizam Daud
    Muscle is one of the important parts of the body as it made up from a bundle of fibrous tissue. The effects of fracture mechanisms of the bone are been studied related with the existing of muscle layer. In order to establish cortical bone with muscle layer, the structure of the base must be relevant and efficient. Therefore, finite element modeling method is an alternative way to study the effect of human fracture mechanisms with and without muscle layer. The aim of this study is to develop two dimensional (2D) model of human cortical bone and muscle layer in linear elastic fracture mechanics (LEFM) and elastic plastic fracture mechanics (EPFM) by using ANSYS APDL applied on three-point bending test. Other than that, Stress Intensity Factor (K) and Strain Energy Release Rate (J-Integral) were analyzed on both 2D models which are cortical bone layer and cortical bone with muscle layer. Two methods were used to evaluate the values of K which are Displacement Extrapolation Method (DEM) and Constrained Integration (CINT) method. The experimental values then been compared with two theoretical expressions for validation purposes. By referring to the values of error for K and J-Integral values in both methods, it is proved that by using CINT method, the model produced smaller error and higher efficiency. By comparing the two models, cortical bone with muscle layer resulted lower K and J-Integral values. It can be concluded that layer of muscle on the cortical bone gives an impact on the crack tip that allow the growth of the crack.
  • Publication
    Non-invasive Detection of Ketum Users through Objective Analysis of EEG Signals
    ( 2021-11-25)
    Nawayi S.H.
    ;
    Vikneswaran Vijean
    ;
    Ahmad Faizal Salleh
    ;
    Rashid R.A.
    ;
    Planiappan R.
    ;
    Lim C.C.
    ;
    Fook C.Y.
    ;
    Saidatul Ardeenawatie Awang
    Ketum leaves are traditionaly used for treatment of backpain and reduce fatigue. However, in recent years people use ketum leaves to substitute traditional drugs as they can easily be obtained at a low cost. Currently, a robust test for ketum detection is not available. Although ketum usage detection via test strip is available, however, the method is possible to be polluted by other substances and can be manipulated. Brain signals have unique characteristics and are well-known as a robust method for recognition and disease detection. Thus, this study has been done to distinguish between ketum users and non-users via brain signal characteristics. Eight participants were chosen, four of whom are heavy ketum users and four non-users with no health issues. Data were collected using the eegoSports device in relaxed state. In pre-processing, notch filter and Independent Component Analysis (ICA) were used to remove artifacts. Wavelet Packet Transform (WPT) was used to reduce the large data dimension and extract features from the brain signal. To select the most significant features, T-Test was used. Support Vector Machine (SVM), K-Nearest Neighbour, and Ensemble classifier were used to categorize the input data into ketum users and non-users. Ensemble classifier was found to be able to predict the testing instances with 100% accuracy for open and closed eyes task with Teager energy and energy to standard deviation ratio as the features.