Inspiration

People have a tendency to leave their phones behind and easily forget to complete daily activities—whether it be due to exhibiting early signs of dementia or simple habits of not carrying a phone at all times. Whatever the case may be that hinders the regular use of brain training game applications, we resolved that having the application on a smartwatch simply solves this problem.

Additionally, based on further research, we discovered that somatosensory games are more applicable for patients in the middle stage of dementia, enabling the exercise of both the patient’s cognitive and physical ability.

Accumulating our findings, we designed an always-accessible smartwatch application that helps slow down the progression of dementia by reinforcement learning of patterns and regular simple memorization exercises. The goal of our application is to slow down the progression of dementia by implementing research-backed methods of brain training games that reinforce cognitive repetition and motor functions.

What it does

Memmoi provides the seniors with an exercise that could be practiced daily for memory retention and stimulate their cognitive functions. It uses a multi-sensory input which first stimulates the user with a set of short-pulsed, rhythmic vibrations. Then, the user recalls the initial rhythmic vibration patterns and repeat the sequence by tapping. Not only does this give motor feedback to what the user remembers, but it also contains a bonus challenge that asks the user actively recall the sequence and count the number of stimulations. This way, the user could reinforce cognitive repetition and motor functions to allow brain-exercising.

How we built it

We built our project on Android Studio using Flutter. The mockup and the overall design were done on Figma.

Challenges we ran into

Making an app for smartwatches was something we did not attempt before. Therefore, when making this program, we used many new programs and languages and had to challenge ourselves to learn them. Downloading XCode on our MacBook was the biggest challenge we ran into. After failing to free up 20GB+ required by Xcode, we needed to build the project from scratch using Flutter which we were not familiar with at all despite its simplicity. It was a heavy education process for all of us.

Accomplishments that we're proud of

We are proud of participating in an in-person hackathon for the first time and finishing a thoughtful project in which we worked hard in.

What we learned

Making an app for smartwatches was something we did not attempt before. Therefore, when making this program, we used many new programs and languages and had to challenge ourselves to learn them. We learned a lot about how a smartwatch app is built and how it requires immense time, effort and complexity.

What's next for 'memmoi.'

Since this application could also be used in syncing, we plan to make a mobile app version of memmoi. Taking advantage of the larger screens and more functions mobile versions provide, we plan to expand the variety of exercises by including games such as face-to-info recognizing games to improve the retention of social-based memories.

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