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Motion capture based on low cost MEMS inertial and magnetic sensors applied to biomechanics

Grant number: 17/19494-4
Support type:Research Grants - Innovative Research in Small Business - PIPE
Duration: November 01, 2018 - April 30, 2021
Field of knowledge:Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
Cooperation agreement: FINEP - PIPE/PAPPE Grant
Principal researcher:Mário Sandro Francisco da Rocha
Grantee:Mário Sandro Francisco da Rocha
Company:Mocap Brasil Serviços em Tecnologia Ltda
CNAE: Atividades de produção cinematográfica, de vídeos e de programas de televisão
Desenvolvimento de programas de computador sob encomenda
Pesquisa e desenvolvimento experimental em ciências físicas e naturais
City: Diadema
Assoc. researchers: Anderson Alves de Oliveira
Associated research grant:15/22039-1 - Motion capture based on low cost MEMS inertial and magnetic sensors applied to biomechanics, AP.PIPE
Associated scholarship(s):20/09267-3 - Motion capture via MEMS-type inertial sensors and low-cost magnetometers for biomechanical applications, BP.TT
20/08217-2 - Motion capture via MEMS-type inertial sensors and low-cost magnetometers for biomechanical applications, BP.TT
20/01712-8 - Motion capture via MEMS-type inertial sensors and low-cost magnetometers for biomechanical applications., BP.TT
+ associated scholarships 19/02480-6 - Motion capture via MEMS-type inertial sensors and low-cost magnetometers for biomechanical applications, BP.TT
18/23003-9 - Motion capture via MEMS-type inertial sensors and low-cost magnetometers for biomechanical applications, BP.TT
18/23429-6 - Motion capture via MEMS-type inertial sensors and low cost magnetometers for biomechanical applications, BP.TT
18/22786-0 - Motion capture based on low cost MEMS inertial and magnetic sensors applied to biomechanics, BP.PIPE - associated scholarships

Abstract

Precise measurements of spatial orientation play a critical role in many fields, such as: aerospace, robotics, navigation, human motion analysis, and human-machine interaction. With the advancement of some technologies, there are a growing number of motion capture (Mocap) applications in physiotherapy, biomechanics, rehabilitation, sports, ergonomics, movies, games etc. In the market, there are several types of Mocap systems, built with different technologies, each one having a different precision level. Currently, there is not a technology that can be identified as the best one. However, the use of SoC (System on Chip) which includes accelerometers and gyroscopes of MEMS type and magnetometers (wearable system) is considered the most promising, because of its independence from external references. Based on the results of his Master's thesis, Anderson Oliveira developed a sensor modulus for Mocap with this technology, able to get data and send it to a PC. As innovation, we are developing, with the support of the governmental program PIPE/FAPESP Fase I, a human motion capture system, including hardware and software for biomechanical applications. It is expected the global market of sensors MEMS to be valued at USD 18.88 billion by 2022, at a compound annual growth rate of 9.8% between 2017 and 2022. The drivers for this market are the growing demand for intelligent consumer electronics and wearable devices, and the introduction of more efficient, economic and compact MEMS technologies. (AU)