Smart Objects Ecosystem for Post-Stroke Upper Limbs' Motor Functions Monitoring: How to collect objective and quantifiable data on the upper limbs' motor functions currently assessed by visual and subjectives estimations?

This paper presents a new ecosystem of smart objects inspired by the Action Arm Research Test used to assess the stroke patient's motor functions. This ecosystem aims to collect objective and quantifiable information on upper limbs motor functions of stroke patients by using physical objects manipulated by the patients without overloading cognitive functions with virtual environments or without asking the patients to wear sensors. The ecosystem is composed of a jack and a cube embedding sensors designed to monitor the hand prehension (fingers movements, fingers precision, global hand movements) and a wrist band devoted to monitor the arm movements during rehabilitation exercises. The therapists can easily collect, visualize and analyze the patient's data through a mobile application developed to present a summary of the patient's state at the end of the session and allowing to compare records of different sessions to assess the patient's evolution.