# Interactive Exploration of Virtual Heritage by Means of Natural Gestures
## 3 Materials and Methods
### Technical Aspects  
Our solution for interactive visualization dedicated for cultural heritage setups is suitable for two museum exhibit configurations. The first is adapted to visualize a large set or virtual artifacts organized in sets of 5 artifacts per visualization session (denoted by ISVS-A). The second one is dedicated to the visualization of an entire edifice, e.g., a temple (denoted by ISVS-B). While the software architectures of both modules are identical, at the hardware level, due to 3D virtual environment complexity, these two systems request slightly different setups as shown in Tables 2 and 3.  
Figure 3: Customed support interaction sensors design **(a)** ISVS-A system and **(b)** ISVS-B system.  
Both ISVS-A (Figure 4) and ISVS-B (Figure 5) interactive visualization systems consist of a public viewing screen (Figures 4a and 5a), a LeapMotion interaction sensor (Figures 4b and 5b) which aims to detect the position, orientation, and posture of the palm of the user's right hand, and, obviously, a process unit, in the form of a laptop (Figure 4c) or a desktop PC (Figure 5c), placed in the immediate vicinity of the sensor and the viewing screen.  
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Recommended \(\mathsf{I}\)** & & & \\
**Tested \(\mathsf{I}\)** & **Processor:** & **RAM:** & **Video Card:** \\ \hline Recommended for & Intel(R) Core (TM) & & \\ ISVS-A & i7-4700 MQ, [EMAIL_ADDRESS] GHz & 16 Gb & NVIDIA GeForce \\ Desktop & 2.40 GHz & & GTX 1650 \\ \hline Tested 1 & Intel(R) Core (TM) i7-8550U & 16 Gb & NVIDIA \\ Laptop & [EMAIL_ADDRESS] GHz 1.99 GHz & 16 Gb & NVIDIA \\ \hline Tested 2 & AMD Ryzen 3 4300U with & & \\ Laptop & Radeon Graphics 2.70 GHz & 8 Gb & AMD Radeon Graphics \\ \hline Tested 3 & Intel(R) Core (TM) & & Graphic card \\ Mini PC Intel NUC & i7-6770 HQ CPU @ 2.60 GHz & 16 Gb & 8000 MB, VRAM \\  & 2.5 9 GHz & & 128 MB \\ \hline Deployed & AMD Ryzen 9-3950 X & & \\ Desktop & 16-Core processor 3.49 GHz & 32 Gb & NVIDIA GeForce RTX \\  & & & 2080 SUPER \\ \hline \hline \end{tabular}
\end{table}
Table 2: Hardware configuration of ISVS-A system.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Recommended \(\mathsf{I}\)** & & \\
**Tested \(\mathsf{I}\)** & **Processor:** & **RAM:** & **Video Card:** \\
**Deployed** & & \\ \hline Recommended for & Intel(R) Core (TM) & & \\ ISVS-A & i7-4700 MQ, [EMAIL_ADDRESS] GHz & 16 Gb & NVIDIA GeForce \\ Laptop & 2.40 GHz & & GTX 1650 \\ \hline Tested 1 & Intel(R) Core (TM) i7-8550U & 16 Gb & NVIDIA \\ Laptop & [EMAIL_ADDRESS] GHz 1.99 GHz & 16 Gb & NVIDIA \\ \hline Tested 2 & AMD Ryzen 3 4300U with & & \\ Laptop DELL & [EMAIL_ADDRESS] GHz 2.59 GHz & 16 Gb & NVIDIA GeForce \\  & & & GTX 1650 \\ \hline \hline \end{tabular}
\end{table}
Table 3: Hardware configuration of ISVS-B system.  
Figure 4: SVS-A’s hardware architecture (**A**)—front view—highlighting visualization display (indicated with (**a**)) and LeapMotion interaction sensor (indicated with (**b**)); (**B**) back view—highlighting the process unit (indicated with (**c**)).  
Figure 5: ISVS-B’s hardware architecture—highlighting visualization display (indicated with (**a**)), LeapMotion interaction sensor (indicated with (**b**)), and the process unit (indicated with (**c**)).  
Obviously, there is a software component, called ISVS-A and ISVS-B, respectively, that makes it possible to take over the information detected by the LeapMotion interaction sensor (Figures 4b and 5b), analyze it at the level of the computing unit (Figures 4c and 5c), and display a coherent visual response at user's gestures via the display screen (Figures 4b and 5b).