Rehabilitation in healthcare systems provides therapy and training to restore quality life after certain illness, addiction or accident. Currently, there is a significant unmet need for rehabilitation services, and it is frequently undervalued in the health system. As populations age and the prevalence of noncommunicable diseases and injuries increases, and the demand for rehabilitation grows, strengthening rehabilitation in health systems becomes ever more paramount. Conventional rehabilitation service can be costly and time consuming to people not living near the rehabilitation centres. Often people with lower income who live in rural areas refuse rehabilitation services due to the logistic issue. On the other hand, in urban areas, most people are too busy with their daily activities and unable to keep their therapy schedule consistently. In consequence, patients do not enjoy the actual benefit of rehabilitation because of a certain limitation such as cost and time. These limitations can be surpassed by putting telerehabilitation, an emerging area of performing rehabilitation medical treatment with the use of technology from a distance into practice. Scientific studies of telerehabilitation in the current literature are discussing primarily in the area of readiness, technologies, and illnesses such as children autism and heart failure. However, there is limited evidence about telerehabilitation service for stroke patients, concentrating on the pre-implementation and implementation stages, which makes this paper viable and significant, potentially for telerehabilitation implementation in Malaysia. This paper proposes a new conceptual model of hybrid telerehabilitation that combines several technological principles, such as cloud, virtual reality, and computer-based system. The model was derived based on a study of a public tertiary hospital in Malaysia. The current traditional system was investigated and discussed. A new telerehabilitation model is proposed to widen the access for rehabilitation to patients of all ages. � 2019 IEEE.

The children who have disability in their social interaction and communication are categorized as children with autism. Often autistic children are facing challenges in independent living causing many concerns toward teaching and learning for the autistic children. As a result, therapists and educators of autistic children are facing distress when teaching the autistic children as it is harder to retain their attention during the learning process. Hence, there are some researchers suggest robotic approach as clinical tool to assist therapist especially teachers in teaching session with autistic children. Therefore, this research is focusing on developing a robot to teach the basic Jawi modules to the autistic children. The objective of this paper is twofold, presenting: (1) the ways Jawi Alphabot is programmed to perform teaching, and 2) the attentive assessment results that shows the effectiveness of robotics intervention in learning Jawi among the autistics. Besides, a module for the teacher and the children is also available as a guideline for them to implement this robotic learning process. During the experimental design testing, the autistic children are divided into two groups (i.e. control group and experimental group) and were given different intervention in learning Jawi. The intervention in learning Jawi are: 1) traditional method and 2) robotics intervention method. The results are discussed with evidences that highlights how robotics intervention could alleviate attentiveness in learning among the autistic children. � 2019, World Academy of Research in Science and Engineering. All rights reserved.

Traditional gardening requires labor to control the environmental parameters. The manual intervention method requires high labor cost and it is less effective especially for busy people. This paper introduces the concept of a smart edible garden with the integration of the Internet of Things (IOT). IOT is a smart farming concept that is able to monitor the parameters thus, reducing the need for manual intervention. For controlling the environment in a smart edible garden, different sensors are proposed such as temperature, moisture, humidity, light dependent resistor (LDH) and pH. These sensors collect parameters from the environment to help in the decision making. Data will be sent to a cloud server and is accessed using IOT. IOT approach eliminates the need for constant manual monitoring. It uses a cloud server to store and perform data analytics to control connected devices. This concept provides cost-effective and optimal solutions to the farmers with minimal manual intervention. A solar powered IOT sensors will be an energy efficient option to smart gardening. With these sensors, the greenhouse state, plants and water consumption can be monitored via digital alerts from the system to the grower through a mobile apps and online web portal. Automatic irrigation is carried out in this intelligent system. An automated worm farm system is integrated to supply organic fertilizer for the garden. Worms can turn organic waste into fertilizer, so integrated worm farm can ensure a regular supply of organic fertilizer to the plants. A water system from a fish tank will add the advantage as the water source is very rich in nitrogen and other nutrients came from fish waste in pond water. This multi-function IOT garden is proposed for the indigenous community to give them the digital empowerment to adopt and use technology in their everyday life. This is a work in progress. Results have shown that 50% growth of kangkung plant is recorded in 7 days with IOT farming against traditional farming.

Cerebral Palsy is a common neurodevelopmental condition. The condition may present itself in many different kinds of classification. Cerebral Palsy is always showing many deficits such as mental retardation, speech, language and motor problems. This research was inspired from Elisya, a nine-year-old girl with Cerebral Palsy since born with an auditory and speech disorder including motor problem that affects her mobility. Her senses and brain do not fully coordinate and this creates a communication issue between Elisya and her parents. The aim of this research is to provide a mean for children with Cerebral Palsy who can’t speak to communicate significantly with their parents and carers without using any sign language. There are plenty of assistive tools in the market and this includes the Augmentative and Alternative Communication devices for people with speech disorders. However, there is no app found in Malay language and the content can’t be personalized. Make Me Speak is an Augmentative and Alternative Communication tool using mobile technology which is developed to help people with Cerebral Palsy to communicate with people around them. Make Me Speak is not just for Cerebral Palsy community but for anyone with speech disorder. It is developed in dual language – Malay and English with a personalized content. React Native mobile development platform is used to create the app. React Native helps in building cross platform mobile apps. Hence, it saves time and cost to build mobile apps on multiple platforms. Usability test was done on Elisya and it was found that she is able to manage the app and chose the right buttons to express her needs. This research is in line with the social innovation initiative for people with disabilities as described in the Eleventh Malaysia Plan (RMK-11).