Benchmarking Built-In Tracking Systems for Indoor AR Applications on Popular Mobile Devices

Abstract

As one of the most promising technologies for next-generation mobile platforms, Augmented Reality (AR) has the potential to radically change the way users interact with real environments enriched with various digital information. To achieve this potential, it is of fundamental importance to track and maintain accurate registration between real and computer-generated objects. Thus, it is crucially important to assess tracking capabilities. In this paper, we present a benchmark evaluation of the tracking performances of some of the most popular AR handheld devices, which can be regarded as a representative set of devices for sale in the global market. In particular, eight different next-gen devices including smartphones and tablets were considered. Experiments were conducted in a laboratory by adopting an external tracking system. The experimental methodology consisted of three main stages: calibration, data acquisition, and data evaluation. The results of the experimentation showed that the selected devices, in combination with the AR SDKs, have different tracking performances depending on the covered trajectory.

Telehealth of cardiac devices for CVD treatment

“…Especially, AR devices in a form of a 3D system loaded in a portable smartphone can be used to monitor and prevent CVD from potential CVD patients (Marino et al, 2022). A CTIS against CVD could be developed as a multitier alert system that combines EHRs, CVD progress module (CPM), and AR brought to a mass audience by Pokémon-GO.…”

“…The machine learning (ML) techniques including AI and augmented reality (AR) can be used as an efficient information extraction and execution tool by applying both feature and semantic spaces. Especially, AR devices in a form of a 3D system loaded in a portable smartphone can be used to monitor and prevent CVD from potential CVD patients (Marino et al, 2022). A CTIS against CVD could be developed as a multitier alert system that combines EHRs, CVD progress module (CPM), and AR brought to a mass audience by Pokémon‐GO.…”

Assessment of Multiple Fiducial Marker Trackers on Hololens 2

“…For example, in activities such as programming by demonstration [19], [20], AR can enable the user to visualize the robot's digital twin's workspace and intentions and anticipate the physical robot's movement, enhancing the user's perceived safety towards the robotic manipulator [21]. Moreover, several authors, such as [22]- [24], employed spatial transformations to evaluate the precision of the tracking devices.…”