Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> Services of IoT in Healthcare <s> Childhood obesity has become a major problem around the world. In many cases children develop unhealthy eating patterns, resulting in excess energy intake, because they eat alone without their parents or teachers advice. In this paper we propose a mobile health (mhealth) platform intended to increase children's health awareness by tracking their food intake and sending proper notifications and messages based on their food choices. The platform is based on the Internet of Things concept in order to facilitate capturing food information using intelligent tags instead of doing manual entries. <s> BIB001 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> Services of IoT in Healthcare <s> In recent years, we have witnessed a rapid surge in assisted living technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted living technologies for safe and independent aging. In this survey, we will summarize the emergence of `ambient-assisted living” (AAL) tools for older adults based on ambient intelligence paradigm. We will summarize the state-of-the-art AAL technologies, tools, and techniques, and we will look at current and future challenges. <s> BIB002 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> Services of IoT in Healthcare <s> The recent advancements in technology and the availability of the Internet make it possible to connect various devices that can communicate with each other and share data. The Internet of Things (IoT) is a new concept that allows users to connect various sensors and smart devices to collect real-time data from the environment. However, it has been observed that a comprehensive platform is still missing in the e-Health and m-Health architectures to use smartphone sensors to sense and transmit important data related to a patient's health. In this paper, our contribution is twofold. Firstly, we critically evaluate the existing literature, which discusses the effective ways to deploy IoT in the field of medical and smart health care. Secondly, we propose a new semantic model for patients' e-Health. The proposed model named as `k-Healthcare' makes use of 4 layers; the sensor layer, the network layer, the Internet layer and the services layer. All layers cooperate with each other effectively and efficiently to provide a platform for accessing patients' health data using smart phones. <s> BIB003 </s> Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review <s> Services of IoT in Healthcare <s> Summary ::: Ambient Assisted Living (AAL) main goal is the development of health monitoring systems for patients with chronic diseases and elderly people through the use of body, home, and environmental sensors that increase their degree of independence and mobility. A comprehensive software infrastructure for AAL systems should be able to cover scenarios involving several patient mobility levels, locations, and physical and cognitive abilities. Cloud computing can provide to AAL systems the ability to extend the limited processing power of mobile devices, but its main role is to integrate all stakeholders through the storage and processing of health data and the orchestration of healthcare business logic. On the other hand, the Internet of Things (IoT) provides the ability to connect sensors and actuators, integrating and making them available through the Internet. This paper presents the Mobile-Hub/Scalable Data Distribution Layer, a middleware for AAL based on cloud computing and IoT. We discuss how this middleware can handle the requirements of the main health monitoring scenarios and present results that demonstrate the ability to opportunistically discover and connect with sensors in a timely manner and the scalability necessary for handling the connection and data processing of many connected patients. <s> BIB004
(1) Ambient Assisted Living (AAL). In healthcare using Internet of things technology, Ambient Assisted Living (AAL) is designed to improve and facilitate the living of elders as well as the physically impaired people. e focus of researchers in the field of IoT in healthcare is to develop such intelligent system which can monitor and record daily activities of elders or disabled people residing in smart environment. e AAL system will bring an optimistic change on different aspects of health and lifestyle. e AAL system is based on multiple sensors for measuring body temperature, blood pressure, glucose, oxygen, and weight. is system is mostly adequate for the patients of diabetes and cardiac arrhythmia. Ambient Assisted Living systems allow doctors and family members to monitor their patient remotely BIB004 . Recent advancements in using IoT in healthcare helped the dream of AAL to become a reality BIB002 . the reality to monitor a patient remotely instead of diagnosing them physically in hospitals. A patient is equipped with certain sensors which get health data and transmit them to the datacentres through internet to keep them available for further decisions BIB003 . (3) Community Healthcare (CH). e Community Healthcare (CH) system is a network which covers a local area. e structure of a community healthcare seems as a "Virtual Health Centre." It is an IoT-based network, which monitors around the rural community or housing area  . (4) Children Health Information (CHI). e Children Health Information system is a platform for children to improve their health by changing their food habits when they are away from parents and eating outside from their homes. Children using a mobile device for tracking food get notification from their doctors, caretakers, or parents. Users can receive information regarding food through the augmented application. e health educator uses the stored information to provide feedback to the children and sends a notification to their parents. is enables parents to interact with their children to enhance family food habits BIB001 . e following data were analysed for the purpose of answering to RQ-4, as explained in Table 8 .