Projects

A mobile app to help the users to feel calm based on EMDR

Type Android, iOS, Mobile application
AREAS OF EXPERTISE Mobile development, graphic animation
TEAM 2 mobile developers, 1 UI/UX designer, 1 Analyst, 1 QA engineer, 1 manager

Our company developed Calm and Confident, a mobile app to help users feel calm, for Mark Grant, a clinical psychologist specialized in stress, trauma, and pain treatment. This app combines audio tracks with BLS (bilateral brain stimulation), crucial for EMDR (Eye Movement Desensitization & Reprocessing) therapy, and works on mobile devices and PC tablets.

Calm and Confident includes BLS and non-BLS audio tracks, along with animated videos, all in one playlist. BLS tracks blend music, voice-over instructions, and metronome ticking, while non-BLS tracks exclude the metronome. Mark Grant recorded all tracks in a professional audio environment, using his voice for guidance.

The app’s video tracks feature animations synchronized with the audio, each frame drawn to meet specific BLS-frequency needs. These videos aim to boost the BLS audio’s effect with visual stimuli. All images, tailor-made for this mobile app to help users feel calm, were designed exclusively for Mark Grant’s project to enhance calmness and silent strength through their style and color scheme.

iOS application

Android application

 

Challenges
  1. In this app we wanted to try a more personalized approach for user listening experience because different tracks work better for different people and we had to provide them with a beeline to the most helpful tracks whenever they need it. At the same time, we didn’t want to make the app more complex than it is necessary for its main goal.
  2. It was very important for us to synchronize our animation with the frequency of metronome used for the BLS effect. Otherwise, the visuals won’t amplify the original stimulating effect.
Solutions
  1. For that, we have built-in a Personal compilation gallery where the most frequently listening tracks are collected. It can have both audio tracks and tracks with animation since they all belong to the same playlist.
  2. Since the metronome frequency was not consistent due to BSL effect requirements and the customer couldn’t provide us with accurate calculations for the correct frequency within different timeframes we had to calculate it by ourselves. Because of that the animation was generated automatically via coding means instead of putting together a single animated file manually.
Results

As a result, the mobile app was published on all iOS and Android markets. At first, our customer has tried this app among his colleagues but now it is available for anyone who has access to the Australian markets. So far we didn’t get any global additional requests regarding the app. 

Business value

The main goal of the app was turning a music album that Mark Grant recorded a while ago into something more modern, mobile and personalized. Since the tracks themselves have proved to be efficient on their own record it was only logical to give them a new life in the form of a mobile application with a few unique features.

Machine learning model for predicting startup success
Machine learning model for predicting startup success
A mobile app for tracking vehicle fleet of the coal mining companies
A mobile app for tracking vehicle fleet of the coal mining companies