Open AccessLOWER LIMB ASSISTANCE SYSTEMS: A STATE OF THE ART
Author(s) -
Miguel Angel Garcia Velarde,
Wilberth Melchor Alcocer Rosado,
Andrés Blanco Ortega,
Arturo Abúndez,
Claudia Cortés,
J. Colín
Publication year - 2022
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2022.626
Subject(s) - exoskeleton , swing , computer science , task (project management) , focus (optics) , differentiator , motion (physics) , physical medicine and rehabilitation , state (computer science) , gait cycle , control (management) , human–computer interaction , simulation , engineering , artificial intelligence , medicine , telecommunications , mechanical engineering , physics , systems engineering , optics , bandwidth (computing) , algorithm , kinematics , classical mechanics
In this paper, we present a state of the art regarding lower limb assistance systems. That is, exoskeletons, exosuits, actuated orthoses and smart walkers intended to assist users with or without walking difficulties in such task. We focus on those systems headed towards motion intention prediction, especially those that implement myosignals in order to control the system. However, there are some using cortical or encephaloelectric signals. We make clear the importance of developing this technology for the sake of user’s health, when regarding people with reduced motor capacity. After the reviewed systems, we bring forward our own system intended to assist hemiplegic/hemiparetic patients walking by predicting motion intention. The main differentiator of our design shall be energy saving as it is being designed to actuate the hip only during swing phase. Thus, hypothetically allowing the system to save 40% energy, compared to the same system actuated during the whole walking cycle.