EMMA (Elder Mobile Monitoring Assistant) supports independent living and reduces 90% the fear of falling.
The sensor is based on machine learning algorithms. EMMA monitors position, vital signals and tasks of the elder. EMMA learns the walking pattern of the person wearing it and so is able to discriminate about normal walking patterns and dangerous ones. In case of dangers EMMA can send emails, sms or call a predefined list of contacts.
The product is composed by the sensor hardware and the software for the data analysis. At the moment the sensor requires internet connection but the final version will include a GSM module. Re-design of the electronic board; software improvement test and certification (CEE and Rohs) are necessary to become a commercial product. The technology is proprietary in terms of indoor positioning and encryption of patient data (patent in progress) and unique in terms of adaptive algorithms capable of learning walking patterns and predicting dangerous postures.
The product future development
EMMA is designed to be a general purpose health care platform called EMMA Hub, thus allowing the user to add additional sensors such as pulse rate monitors, blood pressure monitors and home automation devices like safety alarms and energy management
