The FISECARE portion of the project builds upon the work of 21/22 Team 35. Thanks to their design, the user interface features large buttons and easy-to-understand text descriptions, which helps to create a pleasant user experience. Following on from their use of symbols and icons for the buttons making it easier for users to interpret the purpose of each button, we have stayed consistent with the design.

The user interface of MotionInput primarily consists of calibration windows, which display text instructions as well as the image captured by webcam. During calibration process, user is only required to perform a simple and intuitive task of tracking a flickering dot on the window, with either their head or hand. Our test cases reveals that users were able to interpret the instructions and perform the calibration correctly in most cases.

Lastly, the MFC settings app provides links to plenty of resources and information to guide them through using the Bedside Navigator. Easy-to-access information buttons are placed regularly at every option for the user. Although, using more graphics or pictures would be more pleasing to the eye.

FISECARE offers a range of entertainment services for elderly people, such as online shopping and caregiver calling. We have also expanded its capabilities by adding a new section for children, featuring educational websites, games, and work from other teams. This has successfully encouraged our users to stay active and connected through the internet. As well as increase the use of technology amongst age groups or a population of people who otherwise avoid technology.

The Bedside Navigator also provides the functionality to adapt their app to their needs with the personalisation of apps on FISECARE. The MFC Settings Apps includes a quick and easy way to edit their apps on FISECARE. This makes the MFC the main means of personalising their experience of the Bedside Navigator which is easier to manage rather than changing the settings on multiple files.

Users can navigate the application using MotionInput side-of-head or side-of-hand tracking modes, with support from gesture and speech control.

The FISECARE application is stable and responsive thanks to its simple design using the WPF framework. MotionInput navigation modes are stable in most use cases as well. However, during our testing on MeLe, the MotionInput build crashed a few times, which we suspect is due to compatibility issues with fan-less computers.

Despite the intense load of MotionInput, the Bedside Navigator functions well for long periods of time on most Intel Mini Computers. As well as, on numerous other devices such as laptops. There is minimal latency experienced, although there can be some latency in lower-end devices.

The Bedside Navigator program was tested on multiple fan-less computers, with the Intel MeLe Quieter 3Q serving as our primary test device.

Currently, the program consumes a maximum of 700 MB of RAM and 33% of CPU usage, and takes an average of 5 seconds to start up both FISECARE and MotionInput.

As a prototype application, Bedside Navigator is subject to optimization.

The FISECARE application runs smoothly on all tested Windows machines, including Intel MeLe, Intel NUC NUC11TNKi5, and NUC11TNKi7.

MotionInput navigation modes are generally reliable on these platforms, with only occasional crashes reported.

The FISECARE application is developed using the WPF framework, which offers a wide range of development tools that can help maintain and extend the application.

The MotionInput navigation modes are developed in Python, and come with deployment and user manuals. Additionally, the source code is well-documented at key parts of the project, helping to identify the architecture and maintain the application.

The project workload is distributed evenly among all active team members, with an effort made to ensure that tasks align with each member’s strengths and interests. The team has chosen WhatsApp as the primary communication channel, Notion and OneDrive as shared workspaces to collaborate on all research findings, and GitHub to store the codebase. These tools have enabled the team to be flexible and responsive in meeting customer needs quickly.