Um framework de rastreamento corporal para reabilitação neuromotora com suporte a aplicativos multimídia
Resumo
Multimedia applications and games play a crucial role in rehabilitation and health, providing an interactive and engaging approach that can improve patient motivation, facilitate progress monitoring, and personalize treatment plans. They offer an innovative physical and cognitive therapy platform, allowing healthcare professionals to explore new forms of treatment and patients to experience a more enjoyable and effective recovery. Despite recent advances in hardware and software, integrated solutions still need to be developed to facilitate the development of new applications, especially those that use body-tracking sensors. This paper presents the framework for a development solution that simplifies the creation of new natural user interface (NUI) applications based on inertial sensors, supporting both tracking and the creation of sessions and data storage. We also present examples of applications developed to show the potential of the solution for developing new applications that use the user’s own body as a means of interaction.
Palavras-chave:
Realidade Virtual, Jogos Sérios, Multimídia, Reabilitação Neuromotora, Sensores, Rastreamento Corporal, Desenvolvimento de Software
Referências
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Gisela Miranda Difini, Marcio Garcia Martins, and Jorge Luis Victória Barbosa. 2021. Human pose estimation for training assistance: a systematic literature review. In Proceedings of the Brazilian Symposium on Multimedia and the Web. 189–196.
M P Guimaraes, V F Martins, G J C Brasil, and L C Trevelin. 2011. Um Modelo de Processo de Desenvolvimento de Interfaces de Gesto: Definição e um Estudo de Caso. In XXXVII Conferencia Latinoamericana de Informática (CLEI), Vol. 1. 378–390.
P C Hallal, A E Bauman, G W Heath, H W Kohl, I-Min Lee, and M Pratt. 2012. Physical activity: more of the same is not enough. Lancet 380 (2012), 189–190.
J Kesselring. 2001. Neurorehabilitation: a bridge between basic science and clinical practice. European journal of neurology 8, 3 (2001), 221–225.
A E Maloney, K A Threlkeld, and W L Cook. 2012. Comparative effectiveness of a 12-week physical activity intervention for overweight and obese youth: Exergaming with “Dance Dance Revolution. Games for health journal: Research, development and clinical applications (2012), 1–8.
D C Malta and J B Silva. 2012. Policies to promote physical activity in Brazil. Lancet 380 (2012), 195–196.
Alfredo Manuli, Maria Grazia Maggio, Daniele Tripoli, Martina Gullì, Antonino Cannavò, Gianluca La Rosa, Francesca Sciarrone, Giuseppe Avena, and Rocco Salvatore Calabrò. 2020. Patients’ perspective and usability of innovation technology in a new rehabilitation pathway: An exploratory study in patients with multiple sclerosis. Multiple sclerosis and related disorders 44 (2020), 102312.
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Gabriele Biscegli Otoboni. 2022. Comparação entre sensores inerciais e sistema de análise de movimento VI na avaliação da tarefa de Sit-to-Stand em adultos jovens saudáveis. Master’s thesis. Escola de Engenharia de São Carlos (EESC-USP).
Alexandra Pfister, Alexandre M West, Shaw Bronner, and Jack Adam Noah. 2014. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis. Journal of medical engineering & technology 38, 5 (2014), 274–280.
Luis GS Rodrigues, Diego RC Dias, Marcelo P Guimarães, Alexandre F Brandão, Leonardo CD Rocha, Rogério L Iope, and José RF Brega. 2021. Upper limb motion tracking and classification: A smartphone approach. In Proceedings of the Brazilian Symposium on Multimedia and the Web. 61–64.
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Alexandre Fonseca Brandão, Diego Roberto Colombo Dias, Sávyo Toledo Machado Reis, Clovis Magri Cabreira, Maria Cecilia Moraes Frade, Thomas Beltrame, Marcelo de Paiva Guimarães, and Gabriela Castellano. 2020. Biomechanics Sensor Node for Virtual Reality: A Wearable Device Applied to Gait Recovery for Neurofunctional Rehabilitation. In International Conference on Computational Science and Its Applications. Springer, 757–770.
Desiderio Cano Porras, Petra Siemonsma, Rivka Inzelberg, Gabriel Zeilig, and Meir Plotnik. 2018. Advantages of virtual reality in the rehabilitation of balance and gait. Neurology 90, 22 (2018), 1017–1025. Publisher: Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology DOI: 10.1212/WNL.0000000000005603 [link].
Gisela Miranda Difini, Marcio Garcia Martins, and Jorge Luis Victória Barbosa. 2021. Human pose estimation for training assistance: a systematic literature review. In Proceedings of the Brazilian Symposium on Multimedia and the Web. 189–196.
M P Guimaraes, V F Martins, G J C Brasil, and L C Trevelin. 2011. Um Modelo de Processo de Desenvolvimento de Interfaces de Gesto: Definição e um Estudo de Caso. In XXXVII Conferencia Latinoamericana de Informática (CLEI), Vol. 1. 378–390.
P C Hallal, A E Bauman, G W Heath, H W Kohl, I-Min Lee, and M Pratt. 2012. Physical activity: more of the same is not enough. Lancet 380 (2012), 189–190.
J Kesselring. 2001. Neurorehabilitation: a bridge between basic science and clinical practice. European journal of neurology 8, 3 (2001), 221–225.
A E Maloney, K A Threlkeld, and W L Cook. 2012. Comparative effectiveness of a 12-week physical activity intervention for overweight and obese youth: Exergaming with “Dance Dance Revolution. Games for health journal: Research, development and clinical applications (2012), 1–8.
D C Malta and J B Silva. 2012. Policies to promote physical activity in Brazil. Lancet 380 (2012), 195–196.
Alfredo Manuli, Maria Grazia Maggio, Daniele Tripoli, Martina Gullì, Antonino Cannavò, Gianluca La Rosa, Francesca Sciarrone, Giuseppe Avena, and Rocco Salvatore Calabrò. 2020. Patients’ perspective and usability of innovation technology in a new rehabilitation pathway: An exploratory study in patients with multiple sclerosis. Multiple sclerosis and related disorders 44 (2020), 102312.
Michsky. 2021. Modern UI Pack. [link]
MidLevel. 2021. Ruffles. [link]
Gabriele Biscegli Otoboni. 2022. Comparação entre sensores inerciais e sistema de análise de movimento VI na avaliação da tarefa de Sit-to-Stand em adultos jovens saudáveis. Master’s thesis. Escola de Engenharia de São Carlos (EESC-USP).
Alexandra Pfister, Alexandre M West, Shaw Bronner, and Jack Adam Noah. 2014. Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis. Journal of medical engineering & technology 38, 5 (2014), 274–280.
Luis GS Rodrigues, Diego RC Dias, Marcelo P Guimarães, Alexandre F Brandão, Leonardo CD Rocha, Rogério L Iope, and José RF Brega. 2021. Upper limb motion tracking and classification: A smartphone approach. In Proceedings of the Brazilian Symposium on Multimedia and the Web. 61–64.
styanton. 2021. Maze Generator. [link]
Tiago Trotta Lara Barbosa, Marcelo de Paiva Guimarães, Alexandre Fonseca Brandão, Leonardo Chaves Dutra da Rocha, Rogerio Luiz Iope, José Remo Ferreira Brega, and Diego Roberto Colombo Dias. 2021. ReBase: Data Acquisition and Management System for Neuromotor Rehabilitation Supported by Virtual and Augmented Reality. In Symposium on Virtual and Augmented Reality (Virtual Event, Brazil) (SVR’21). Association for Computing Machinery, New York, NY, USA, 182–186. DOI: 10.1145/3488162.3488225
Publicado
14/10/2024
Como Citar
RIBEIRO, Elvis; BRANDÃO, Alexandre; GUIMARÃES, Marcelo; ROCHA, Leonardo; BREGA, José Remo; DIAS, Diego.
Um framework de rastreamento corporal para reabilitação neuromotora com suporte a aplicativos multimídia. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 30. , 2024, Juiz de Fora/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 292-300.
DOI: https://doi.org/10.5753/webmedia.2024.241537.
