Dynamic difficulty adjustment with evolutionary algorithm in games for rehabilitation robotics (2016)
- Authors:
- USP affiliated authors: CAURIN, GLAUCO AUGUSTO DE PAULA - EESC ; ANDRADE, KLÉBER DE OLIVEIRA - EESC ; PASQUAL, THALES BUENO - EESC
- Unidade: EESC
- Subjects: ALGORITMOS; ROBÓTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ, USA
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Serious Games and Applications for Health - SEGAH
-
ABNT
ANDRADE, Kléber de Oliveira et al. Dynamic difficulty adjustment with evolutionary algorithm in games for rehabilitation robotics. 2016, Anais.. Piscataway, NJ, USA: IEEE, 2016. Disponível em: https://repositorio.usp.br/directbitstream/d2d990c3-653b-4f85-820c-e83be38d9ce5/trabalho%2013%20-%20Dynamic%20Difficulty%20Adjustment%20with%20Evolutionary%20Algorithm%20in%20Games%20for%20Rehabilitation%20Robotics%20%284th%20International%20Conference%20on%20Serious%20Games%20and%20Applications%20for%20Health%20-%20Segah%202016%29.pdf. Acesso em: 01 jan. 2026. -
APA
Andrade, K. de O., Pasqual, T. B., Caurin, G. A. de P., & Crocomo, M. K. (2016). Dynamic difficulty adjustment with evolutionary algorithm in games for rehabilitation robotics. In Proceedings. Piscataway, NJ, USA: IEEE. Recuperado de https://repositorio.usp.br/directbitstream/d2d990c3-653b-4f85-820c-e83be38d9ce5/trabalho%2013%20-%20Dynamic%20Difficulty%20Adjustment%20with%20Evolutionary%20Algorithm%20in%20Games%20for%20Rehabilitation%20Robotics%20%284th%20International%20Conference%20on%20Serious%20Games%20and%20Applications%20for%20Health%20-%20Segah%202016%29.pdf -
NLM
Andrade K de O, Pasqual TB, Caurin GA de P, Crocomo MK. Dynamic difficulty adjustment with evolutionary algorithm in games for rehabilitation robotics [Internet]. Proceedings. 2016 ;[citado 2026 jan. 01 ] Available from: https://repositorio.usp.br/directbitstream/d2d990c3-653b-4f85-820c-e83be38d9ce5/trabalho%2013%20-%20Dynamic%20Difficulty%20Adjustment%20with%20Evolutionary%20Algorithm%20in%20Games%20for%20Rehabilitation%20Robotics%20%284th%20International%20Conference%20on%20Serious%20Games%20and%20Applications%20for%20Health%20-%20Segah%202016%29.pdf -
Vancouver
Andrade K de O, Pasqual TB, Caurin GA de P, Crocomo MK. Dynamic difficulty adjustment with evolutionary algorithm in games for rehabilitation robotics [Internet]. Proceedings. 2016 ;[citado 2026 jan. 01 ] Available from: https://repositorio.usp.br/directbitstream/d2d990c3-653b-4f85-820c-e83be38d9ce5/trabalho%2013%20-%20Dynamic%20Difficulty%20Adjustment%20with%20Evolutionary%20Algorithm%20in%20Games%20for%20Rehabilitation%20Robotics%20%284th%20International%20Conference%20on%20Serious%20Games%20and%20Applications%20for%20Health%20-%20Segah%202016%29.pdf - Desenvolvimento de um jogo para reabilitação de pessoas que sofreram AVC, baseado no exame de cognição ACE-R
- Sistema neural reativo para o estacionamento paralelo com uma única manobra em veículos de passeio
- Comparison between performance in game and cognitive level: tests with healthy subjects
- Rehabilitation robotics and serious games: an initial architecture for simultaneous players
- Desenvolvimento de punho robótico
- Relative performance analysis for robot rehabilitation procedure with two simultaneous users
- Control architecture for device integration (CADI)
- USP cria robô para reabilitação de fratura [Depoimento a Mariana Versolato]
- Use of genetic algorithms for artificial members control
- Squeezed screw trajectories for smooth regrasping movements of robot fingers
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