Sign language illustrator
On its own, the term sign language illustrator represents the device throughout. It is asuggested structure aimed at reducing the disparity in language between ordinary and deaf and dumbpeople. It is entirely focused on the theory of Trans forming images and machine learning. The gesture image is fi...
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| creator | Vyas, Ojesh Dembla, Prateek Jhambani, Rubin Jain, Sunidhi Manish Udawant, Prashant |
| description | On its own, the term sign language illustrator represents the device throughout. It is asuggested structure aimed at reducing the disparity in language between ordinary and deaf and dumbpeople. It is entirely focused on the theory of Trans forming images and machine learning. The gesture image is filmed in this process and then pre-processed. And compared to the data collection that finally gives our output, i.e., in text format, the significance of the gesture. This research paper would also concentrate on a hand motion recognition method developed using the principle of machine learning and neural networking, since this approach is more practical and can achieve optimum precision. Other solutions that use HD cameras or sensor-based sensors that detect hand movements are expensive and need more hardware in addition. |
| doi_str_mv | 10.1063/5.0074076 |
| format | Conference Proceeding |
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It is asuggested structure aimed at reducing the disparity in language between ordinary and deaf and dumbpeople. It is entirely focused on the theory of Trans forming images and machine learning. The gesture image is filmed in this process and then pre-processed. And compared to the data collection that finally gives our output, i.e., in text format, the significance of the gesture. This research paper would also concentrate on a hand motion recognition method developed using the principle of machine learning and neural networking, since this approach is more practical and can achieve optimum precision. Other solutions that use HD cameras or sensor-based sensors that detect hand movements are expensive and need more hardware in addition.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/5.0074076</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Illustrators ; Machine learning ; Motion perception ; Scientific papers ; Sign language</subject><ispartof>AIP conference proceedings, 2022, Vol.2393 (1)</ispartof><rights>Author(s)</rights><rights>2022 Author(s). 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It is asuggested structure aimed at reducing the disparity in language between ordinary and deaf and dumbpeople. It is entirely focused on the theory of Trans forming images and machine learning. The gesture image is filmed in this process and then pre-processed. And compared to the data collection that finally gives our output, i.e., in text format, the significance of the gesture. This research paper would also concentrate on a hand motion recognition method developed using the principle of machine learning and neural networking, since this approach is more practical and can achieve optimum precision. 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| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2022, Vol.2393 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_scitation_primary_10_1063_5_0074076 |
| source | AIP Journals Complete |
| subjects | Illustrators Machine learning Motion perception Scientific papers Sign language |
| title | Sign language illustrator |
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