BlueSkeye AI develops leading edge ethical solutions for automatic real time mood estimation from video and audio data on a variety of computer platforms, particularly mobile. Our priorities in designing mood monitoring solutions are end user’s privacy, data flow transparency and ultimately end user confidence that they have full control over their potentially sensitive personal data. We address these priorities by designing interfaces of our applications that help end users make informed decisions on how they prefer to use their data and minimising the amount of data transfers required for our solutions to work by performing as many computational operations on device as possible instead of transferring data to cloud.
Automatic real time mood assessment has a huge variety of potential applications in our modern world of ever growing integration of technology in our day to day lives especially if deployed on mobile devices. One obvious application of this technology would be long term self-monitoring that can help end users to gain a deeper insight into changes in their emotional states which can help them better understand themselves and identify negative mood changing trends at early stages. Such long term monitoring data enables end users to perform frequent self assessments of their overall mental health as well as assist doctors in prompt and more precise mental health conditions diagnosis compared to conventional medical questionnaires to identify and monitor a variety of mental health conditions, such as depression.
We can apply our state of art face and voice analysis to improve health and wellbeing. Get in touch below to discuss how we can work together
