REHABILITATION  |  MEDICAL ELECTRODES  |  BRAIN COMPUTER INTERFACE  |  MACHINE LEARNING  |  EMBEDDED COMPUTER VISION  |  NEW MATERIALS  |  ENERGY

MACHINE LEARNING
From image and speech recognition to medical diagnoses, recommendation systems, and even self-driving cars, data-driven algorithms have the potential to unlock insights, automate decision-making, and redefine the boundaries of technological innovation.

The technology
Machine learning is a subfield of artificial intelligence, defined as the capability of a machine to imitate intelligent human behavior.​

The goal of AI is to create computer models that show “intelligent behaviors” like humans. ML is used to teach machines how to handle data more efficiently.
Our commitment
At Henesis, we have patented innovative ML algorithms and we are currently using them to automatically identify objects, count the number of correct repetitions performed by patients wearing inertial sensors, and also in association with BCI paradigms.

The evolution of data-driven intelligence.
The example of Henesis’ patented ML algorithms for exercises’ repetition counting on ARC intellicare telerehabilitation platform. 

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