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

• Grant number: 17/19494-4
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: November 01, 2018
• End date: April 30, 2021
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Agreement: FINEP - PIPE/PAPPE Grant
• Principal Investigator: 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
• Associated 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): 20/08217-2 - Motion capture via MEMS-type inertial sensors and low-cost magnetometers for biomechanical applications, BP.TT; 20/09267-3 - 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)