Evaluation of otical myography sensor as predictor of hand postures
ARTIGO
Inglês
Optical myography stands as one of many techniques to assess hand postures. As a combination of computer vision and muscular activity analysis, it differs from conventional gesture recognition techniques, such as instrumented gloves or optical tracking, by not relying on the existence of a healthy...
Optical myography stands as one of many techniques to assess hand postures. As a combination of computer vision and muscular activity analysis, it differs from conventional gesture recognition techniques, such as instrumented gloves or optical tracking, by not relying on the existence of a healthy hand, so it is able to detect the hand motion as well as the motion intent. In this aspect, optical myography is like well-established myographic approaches, such as surface electromyography or force myography, but it is simpler, more comfortable, and inexpensive. This recent technology is hereby evaluated upon the construction of a feasible and low-cost sensor that monitors both the front and the back of the forearm. The results are organized into two sections: the first validates the sensor and the second evaluates its performance as a predictor of eight static postures, including the thumb and the fingers motion. In the end, the sensor proved to be comparable to more mature techniques with an F-score of similar to 92.2% and similar to 71.5% for front- and back-side analysis, respectively
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
COORDENAÇÃO DE APERFEIÇOAMENTO DE PESSOAL DE NÍVEL SUPERIOR - CAPES
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2017/25666-2
Fechado
DOI: https://doi.org/10.1109/JSEN.2019.2905229
Texto completo: https://ieeexplore.ieee.org/document/8667855
Evaluation of otical myography sensor as predictor of hand postures
Evaluation of otical myography sensor as predictor of hand postures
Fontes
IEEE sensors journal Vol. 19, no. 13 (July, 2019), p. 5299-5306 |