Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10198/25429
Título: | Glove prototype for feature extraction applied to learning by demonstration purposes |
Autor: | Cerqueira, Tiago Ribeiro, Francisco Pinto, Vítor H. Lima, José Goncalves, Gil |
Palavras-chave: | Virtual simulation Sensoring Glove Learning by demonstration Prototype IMU |
Data: | 2022 |
Editora: | MDPI |
Citação: | Cerqueira, Tiago; Ribeiro, Francisco; Pinto, Vítor H.; Lima, Jose; Goncalves, Gil. (2023). Glove prototype for feature extraction applied to learning by demonstration purposes. Applied Sciences. EISSN 2076-3417. 12:21, p. 1-24 |
Resumo: | This article focuses on a sensorial glove prototype capable of acquiring hand motion and estimating its pose. The presented solution features twelve inertial measurement units (IMUs) to track hand orientation. The sensors are attached to a glove to decrease the project cost. The system also focuses on sensor fusion algorithms for the IMUs and further implementations, presenting the algebraic quaternion algorithm (AQUA), used because of its modularity and intuitive implementation. An adaptation of a human hand model is proposed, explaining its advantages and its limitations. Considering that the calibration is a very important process in gyroscope performance, the online and offline calibration data was analyzed, pointing out its challenges and improvements. To better visualize the model and sensors a simulation was conducted in Unity. |
Peer review: | yes |
URI: | http://hdl.handle.net/10198/25429 |
Aparece nas colecções: | CIMO - Artigos em Revistas Indexados à WoS/Scopus |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Glove prototype for feature extraction applied.pdf | 5,89 MB | Adobe PDF | Ver/Abrir |
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