Machine learning and deep learning for intelligent insoles

The field of pervasive healthcare relies heavily on mobile personal sensing technology to identify everyday human activities. One company, eSteps Inc., headquartered in Bologna, Italy, with American origins, is actively working to address the increasing motor disabilities affecting the lower limbs. They provide comprehensive monitoring solutions that cover pre-hospitalization, hospitalization, and post-hospitalization phases, all based on biomechanics and telerehabilitation protocols. This paper's main goal is to develop an Artificial Intelligence (AI) model. The AI model's purpose is to accurately recognize the specific activities performed by individuals, whether they have Multiple Sclerosis or are in good health. The model uses data collected from eSteps' innovative devices and aims to significantly enhance the quality of care and support for patients with motor disabilities.