THESIS - Add "voice assistant" features on AQURA 10" Terminal and/or AQURA smart handset

Domain
Engineer – Software
Market
Healthcare
Location

Izegem, Belgium

Televic Healthcare develops and manufactures professional communication systems within the care sector for nurse call, patient/staff localization and mobile alarming.

Our state-of-the-art systems are adapted to the ever-higher demands of an evolving market and have been implemented in newly built and refurbished healthcare institutions across the world.

About Televic Healthcare

At Televic Healthcare, we are at the forefront of revolutionizing healthcare through cutting-edge communication and information technology. We specialize in designing, developing and manufacturing innovative solutions that enhance patient care, streamline processes and empower healthcare professionals. We work in a channel model through certified partners internationally and our ambition is to become the reference in our niche market through innovation.

Topic Description

​Televic Healthcare (THC) offers professional communication systems within the care sector for nurse call, patient localization and mobile alarming. Patient rooms are equipped with state-of-the-art room terminals that have a 10" display, microphone and speakers. Next to this you'll find back handsets and intercom units that also support audio. 
Nowadays voice assistant became a common way to execute actions in our daily life. Different cloud and local models exist for speech to text and text to speech engine. Recently, also large language models have gained interest the enhance the communication. 
Within this thesis, the goal is to explore and implement a number of “voice-enabled” features and implement them on the AQURA 10" Terminal and/or AQURA smart handset. 
This can be very useful in the context of a patient who don't have easy way to execute actions with his body. Also useful for nurses to write text instead of typing everything manually on the 10" Terminal on-screen keyboard. 
In this thesis you will first evaluate the technologies for text to speech engine, speech to text and voice assistants to support further interaction. You will implement this on an embedded Linux device. Finally, a demonstrator on one of the use cases will be created. 
 

Nature of the work

  • Level: Bachelor, Master
  • AI, Audio, EmbeddedSoftware
  • Location: University and Televic Healthcare (Izegem)
  • Number of students: 1 or 2

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