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  "access_rights": "",
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  "author": "Patrick Grady",
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  "author": "Patrick Grady",
            
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  "doi": "10.57702/x79u7vy1",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Chengcheng Tang",
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      "extra_author": "Chengcheng Tang",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Samarth Brahmbhatt",
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      "extra_author": "Samarth Brahmbhatt",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Christopher D. Twigg",
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      "extra_author": "Christopher D. Twigg",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Chengde Wan",
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      "extra_author": "Chengde Wan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "James Hays",
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      "extra_author": "James Hays",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Charles C. Kemp",
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      "extra_author": "Charles C. Kemp",
            
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      "orcid": ""
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      "orcid": ""
            
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      "description": "",
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      "name": "hand-pressure-estimation",
            
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      "title": "Hand Pressure Estimation"
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      "title": "Hand Pressure Estimation"
            
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  "name": "pressurevisiondb",
            
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  "notes": "A dataset of 36 participants with paired pressure and 
            
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image data, used to train a deep model to infer hand pressure from a 
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image data, used to train a deep model to infer hand pressure from a 
            
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single RGB image.",
            
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      "display_name": "hand pressure",
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      "display_name": "hand pressure",
            
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  "title": "PressureVisionDB",
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  "title": "PressureVisionDB",
            
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  "type": "dataset",
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  "version": ""
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}
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}