As there is a need for innovative and new medical technologies in the healthcare, we identified Thalmic's “MYO Armband”, which is used for gaming systems and controlling applications in mobiles and computers. We can exploit this development in the field of medicine and healthcare to improve public health care system. So, we spotted “MYO diagnostics”, a computer-based application developed by Thalmic labs to understand Electromyography (EMG) lines (graphs), bits of vector data, and electrical signals of our complicated biology inside our arm. The human gestures will allow to gather huge amount of data and series of EMG lines which can be analysed to detect medical abnormalities and hand movements. This application has powerful algorithms which are translated into commands to recognise human hand gestures. The effect of doctors experience on user satisfaction metrics in using MYO armband can be measured in terms of effectiveness, efficiency and satisfaction which are based on the metrics-task completion, error counts, task times and satisfaction scores. In this paper, we considered only satisfaction metrics using a widely used System Usability Scale (SUS) questionnaire model to study the usability on the twenty-four medical students of the Brighton and Sussex Medical School. This helps in providing guidelines about the use of MYO armband for physiotherapy analysis by the doctors and patients. Another questionnaire with a focus on ergonomic (human factors) issues related to the use of the device such as social acceptability, ease of use and ease of learning, comfort and stress, attempted to discover characteristics of hand gestures using MYO. The results of this study can be used in a way to support the development of interactive physiotherapy analysis by individuals using MYO and hand gesture applications at their home for self-examination. Also, the relationship and correlation between the signals received will lead to a better understanding of the whole myocardium system and assist doctors in early diagnosis.

With an exponential advancement of automation technology, the future of manual systems are changing into automatic systems for various benefits. Also, internet has become an integral part of one's life where Internet of Things (IoT) is the latest and emerging internet technology that has changed the way one looks at things. Internet of things is developing everyday from small scale machines to large scale machines that can share data and accomplish tasks while individuals are occupied with other activities. The main aim of the paper is to design a smart home automation system using IoT, that is to turn a customary home to a smart home for accessing and controlling devices and appliances remotely using Android based Smart phone app. To be specific, we aim to design a low cost, extensible, flexible wireless smart home automation system using IoT which employs the integration of wireless communication, cloud networking to provide users to control a variety of devices from remote locations by providing an user friendly interface and ease of installation. This paper presents the design of smart home automation framework that utilizes the combination of cloud networking and wireless communication, to remote control various electrical appliances (like lights, fans), to users within their home using a smart phone. The system will automatically control appliances on the basis of sensors' data by constantly monitoring the home environment and storing sensor data onto the cloud. To exhibit the possibility and adequacy of our framework, electrical appliances (like lights, fans) and sensors have been incorporated within the proposed home control system.

The understanding of characteristics of gestures, such as ergonomic, cognitive and social aspects could potentially contribute to an interface design mediated by hand gestures. In this research, a questionnaire model is implemented to suggest some guidelines about the use and gestures of MYO armband in a map application. The user-feedback and observations found during our testing have led us to offer some practical insights to designers and developers on how the prototype of gesture applications on MYO can be extended.

The effect of user experience on user satisfaction metrics in using MYO armband (hand gesture navigation) to control interactive maps and various other applications is still in a research state. In general, usability can be measured in terms of effectiveness, efficiency and satisfaction based on the metrics-task completion, error counts, task times and satisfaction scores. In this paper, we considered only satisfaction metrics. A simple and widely used System Usability Scale (SUS) questionnaire model is implemented to suggest some guidelines about the use of MYO armband. Another questionnaire, with a focus on ergonomic issues related to the use of the device such as Social Acceptability, Ease of use and ease of learning, Comfort and Stress, attempted do discover characteristics of hand gesture navigation using MYO. The results of this study can be used in a way to support the development of interactive maps using hand gesture navigation