MOBILITY PEOPLE project addressed components for human-centered assisted-mobility systems adapted to people with special needs, encompassing three main development areas:

  • HmiBCI system – advanced human-machine interfaces with emphasis on Brain-Computer Interfaces (BCI).

New algorithms and technologies for advanced human-machine interfaces (HMIs) focused on specific groups with special needs were researched and developed. Research was carried out in the following strands:

– Reliable gaze independent hybrid BCI combining visual and natural auditory stimuli;

– Self-paced P300-based BCI relying on a short user-specific calibration session that is performed just once;

– EOG and head-pose system using the potential changes, which can be acquired at skin-level,  caused by ocular movements and, in a minor degree, by orbital muscular movement; 

– EOG and EMG based facial expression detection towards human emotion recognition;

– BCI-based robotic wheelchair steering, under human-machine shared control;

– Spacecraft game control by BCI using SSVEP with phase tagging;

– Intuitive Human-Machine Interface (HMI) using leap-motion sensor for a robotic walker.

  • Orthodia system – computerized system to characterize and assist the diagnosis of gait disorders.

The main objectives were: a) the development of a computerized system to characterize and automatically diagnose gait disorders using both a low cost vision system and a pair of instrumented shoes; b) the development of a computerized system for human gait rehabilitation using an electric assisted pedal; c) methods to identify and evaluate normal and abnormal gait patterns.

The main achievements were:

– Three prototypes were developed, two for human gait characterization (a vision system and a pair of instrumented shoes), and another for human gait rehabilitation (electric assisted pedal);

– A patent submission (pending PAT: PT 108143);

– Methods: a) the use of computational intelligence methods to generate the vertical ground reaction forces (VGRF) reference profiles of healthy people; b) new gait indices to identify and evaluate normal and abnormal gait patterns applied to ACL reconstructed patients;

– Awards: IAPMEI National Award “Arrisca C 2014″ ideas competition with the title: Diagnosis and assistance in human gait rehabilitation.

  • EcoAMobility – electric vehicle and mobile robot devices for eco-friendly and assisted mobility.

The main objective of EcoAMobility component was to design and develop assisted mobility systems, electric vehicle and assistant mobile robot, integrating sensors to assure safe operation and to allow the usage by people with special needs. Relevant areas involved were: on-board energy storage and energy management; power management with regenerative capability; technologies for high accuracy autonomous/semi-autonomous navigation; technologies for safety navigation; design and deveopment of a robotic walker.