A high-resolution and whole-body dataset of hand-object contact areas based on 3D scanning method

Hand contact data, reflecting the intricate behaviours of human hands during object operation, exhibits significant potential for analysing hand operation patterns to guide the design of hand-related sensors and robots, and predicting object properties. However, these potential applications are hindered by the constraints of low resolution and incomplete capture of the hand contact data. Leveraging a non-contact and high-precision 3D scanning method for surface capture, a high-resolution and whole-body hand contact dataset, named as Ti3D-contact, is constructed in this work. The dataset, with an average resolution of 0.72 mm, contains 1872 sets of texture images and 3D models. The contact area during hand operation is whole-body painted on gloves, which are captured as the high-resolution original hand contact data through a 3D scanner. Reliability validation on Ti3D-contact is conducted and hand movement classification with 95% precision is achieved using the acquired hand contact data..., This work compiles a high-resolution and whole-body human hand contact dataset named as Ti3D-contact. First, participants wear cotton textile gloves to grasp and manipulate different types and sizes of objects, onto which high-adhesion paint is sprayed to paint whole-body hand contact areas on the gloves. Then, the painted gloves are scanned by a 3D scanner to capture the original hand contact data in the form of texture images and 3D models. After extracting the painted areas on the obtained 3D models in the form of point cloud, the processed hand contact data recording the contact areas between hands and objects is further obtained. A coordinate conversion method is then employed by unifying the coordinates of the processed hand contact data. Through unifying the coordinate systems, the consistency of all the hand contact data is improved, which benefits the analyses of hand operation patterns. Furthermore, a method to calculate the Euclidean distance between the adjacent points in th..., , # A high-resolution and whole-body dataset of hand-object contact areas based on 3D scanning method

[https://doi.org/10.5061/dryad.2v6wwq003](https://doi.org/10.5061/dryad.2v6wwq003)

## Description of the data and file structure

The dataset comprises three folders: \"Scan Data\", \"Digital Data\" and “Meta Data”, the “Scan Data” folder contains the original hand contact data in the form of 3D models and texture images, the processed hand contact data after separating and unifying is saved in the form of point cloud documents under the “Digital Data” folder, and the “Meta Data” folder contains the participant data. The structure of the Ti3D-contact dataset is presented in Figure 8.

The privacy of participants is rigorously safeguarded in our Ti3D contact dataset. Each participant is anonymized and identified with labels the same as in Table 1. Under the Digital Data folder, the data of each participant is saved in a separate folder. There are 52 sub-folders within the separate folder and...,