- Muscle activation and electromyography studies
- Balance, Gait, and Falls Prevention
- Gait Recognition and Analysis
- Prosthetics and Rehabilitation Robotics
- Cerebral Palsy and Movement Disorders
- Diabetic Foot Ulcer Assessment and Management
- Effects of Vibration on Health
- Non-Invasive Vital Sign Monitoring
- Stroke Rehabilitation and Recovery
- Soft Robotics and Applications
- Human Pose and Action Recognition
- Quantum-Dot Cellular Automata
- Lower Extremity Biomechanics and Pathologies
- Context-Aware Activity Recognition Systems
- Quantum Computing Algorithms and Architecture
- Tactile and Sensory Interactions
- Video Surveillance and Tracking Methods
- Advanced Sensor and Energy Harvesting Materials
- Inertial Sensor and Navigation
- Sports Performance and Training
- Injury Epidemiology and Prevention
- Vestibular and auditory disorders
- Teleoperation and Haptic Systems
- Indoor and Outdoor Localization Technologies
- Sensor Technology and Measurement Systems
Monash University Malaysia
2015-2024
Monash University
2008-2023
Australian Regenerative Medicine Institute
2023
Malaysian Palm Oil Board
2023
Curtin University Sarawak
2012-2015
Curtin University
2013-2014
National Institute of Technology Kurukshetra
2014
Gait analysis plays a key role in the diagnosis of Parkinson’s Disease (PD), as patients generally exhibit abnormal gait patterns compared to healthy controls. Current and severity assessment procedures entail manual visual examinations motor tasks, speech handwriting, among numerous other tests, which can vary between clinicians based on their expertise observation tasks. Automating differentiation procedure serve useful tool early PD limits data collection solely walking gait. In this...
Biofeedback is known to improve postural control and shorten rehabilitation periods among the young elderly. A biofeedback system communicates with human central nervous through a variety of feedback modalities. Vibrotactile devices are gaining attention due their desirable characteristics simplistic manner presenting biofeedback. In this study, we investigate potential incorporating real-time artificial intelligence for wobble board training, aimed at improving ankle proprioception. The...
Diabetes is a medical condition affecting multiple organs and systems due to high blood glucose levels in the body which cause diabetic neuropathy foot ulcers. Conventionally, diabetes detected using invasive methods such as pricking finger measuring glucose. However, are not convenient can pain patients. An alternative method detect use gait analysis abnormalities be analysed patterns predict severity. To our best knowledge, no studies have investigated of acceleration for detection hybrid...
Traffic sign recognition system is an important subsystem in advanced driver assistance systems (ADAS) that assisting a to detect critical driving scenario and subsequently making immediate decision. Recently, deep architecture neural network popular because it adapts well various kind of scenarios, even those which were not used during training. Therefore, implemented perform traffic classification order improve the rate. A comparative study for shallow presented this paper. Deep refer...
In low power circuit design, reversible computing has become one of the most efficient and prominent techniques in recent years. this paper, Arithmetic Logic Unit (ALU) is designed to show its major implications on Central Processing (CPU).In two types ALU designs are proposed verified using Altera Quartus II software. designs, eight arithmetic four logical operations performed. design 1, Peres Full Adder Gate (PFAG) used HNG gate as an adder logic 2. Both analysed compared terms number...
Gait events and temporal parameters are presently identified by requiring both patient healthcare professional to be present at a gait laboratory. This requirement is not feasible for the general population in developing countries, where access such laboratories limited costly. Therefore, an inexpensive monitoring device has great potential address this limitation. paper presents development of low cost wearable wireless that relies on gyroscopic data to: 1) identify events, is, heel-strike...
Abstract This paper presents a wavelet neural network (WNN) based method to reduce reliance on wearable kinematic sensors in gait analysis. Wearable hinder real-time outdoor monitoring applications due drawbacks caused by multiple sensor placements and offset errors. The proposed WNN uses vertical Ground Reaction Forces (vGRFs) measured from foot kinetic as inputs estimate ankle, knee, hip joint angles. Salient vGRF are extracted primary event intervals. These selected facilitate future...
This paper presents the design, development, and analysis of a powered ankle-foot orthosis for dorsiflexion assistance which aims to improve gait restoration by addressing issues related misalignment, limited degrees freedom, restricted range motion, muscular disuse. The proposed utilizes novel hybrid design with combination both traditional soft robotics compliant unrestrictive ankle sufferers footdrop. article describes complete including analytical modeling experimental testing pneumatic...
Abstract Sit-to-walk (STW) is a crucial daily task that impacts mobility, independence, and thus quality of life. Existing repositories have limited STW data with small sample sizes (n = 10). Hence, this study presents dataset obtained via the time-up-and-go test, for 65 healthy adults across three age groups – young (19–35 years), middle (36–55 years) older (above 56 years). The contains lower body motion capture, ground reaction force, surface electromyography, inertial measurement unit...
This simulation study aimed to explore the effects of mass and distribution powered ankle-foot orthoses, on net joint moments individual muscle forces throughout lower limb. Using OpenSim inverse kinematics, dynamics, static optimization tools, gait cycles ten subjects were analyzed. The biomechanical models these appended with ideal orthoses different masses actuator positions, as determine effect that design factors had subject's kinetics during normal walking. It was found when device...
Forward continuation, balance, and sit-to-stand-and-walk (STSW) are three common movement strategies during sit-to-walk (STW) executions. Literature identifies these through biomechanical parameters using gold standard laboratory equipment, which is expensive, bulky, requires significant post-processing. STW strategy becomes apparent at gait-initiation (GI) the hip/knee primary contributors in STW, therefore, this study proposes to use joint angles GI as an alternate method of...
A force-sensing platform (FSP), sensitive to changes of the postural control system was designed. The measured effects perturbations in static and dynamic conditions. This paper describes implementation an FSP using resistors as sensing elements. Real-time qualitative assessment utilized a rainbow color scale identify areas with high force concentration. Postprocessing logged data provided end-users quantitative measures control. objective this research establish feasibility test gauge human...
Abstract Oil palm harvesting is a labor-intensive activity and yet it was rarely investigated. Studies showed that complementing human motion analysis with musculoskeletal modelling simulation can provide valuable information about the dynamics of joints muscles. Therefore, this study aims to be first create evaluate an upper extremity model oil assess associated Musculoskeletal Disorder (MSD) risk. Tests were conducted at Malaysia plantation. Six Inertial Measurement Units (IMU) Surface...
Blood Pressure (BP) is one of the vital signs in clinical assessment patients both acute and chronic care settings. However, existing BP measurement devices are less portable or invasive do not allow continuous ambulatory monitoring. In this study, we propose a non-invasive BP-monitoring system using an efficient mathematical model algorithm to measure by relating Pulse Wave Velocity (PWV) Transit Time (PTT) obtained from Photo-Plethysmography (PPG). An optical including two sets PPG sensor...
In this paper, human motion classification using multilayered neural network is proposed to classify signal based on vertical ground resultant force (VGRF). VRGF readings were acquired an instrumented treadmill. The work presented in paper seeks six activities i.e. standing walking, walking jogging, jogging running and running, the measured VGRF. data set involved 229 healthy Asians aged between 20 24, yielding a total of 740 activity classes. All varied as result subjects' desired speed....
Conventional ankle rehabilitation exercises can be monotonous and repetitive. The use of robots games complement the existing practices, provide an engaging environment for patient alleviate physiotherapist’s workload. This paper presents robot that uses two nitinol wire actuators a Pong game to foot plantarflexion dorsiflexion exercises. Nitinol is type smart material has high volumetric mechanical energy density produce translational motion. A two-state discrete antagonistic control...