TY - GEN
T1 - HoloLens 2 Technical Evaluation as Mixed Reality Guide
AU - Balakrishnan, Prabhakaran
AU - Guo, Hung Jui
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Mixed Reality (MR) [19, 20] has developed rapidly in recent years and is used to potentially improve human living environments (such as life-related and entertainment applications) and work efficiency. Microsoft HoloLens [17] has played an essential role in the progress of MR as a state-of-the-art head-mounted device (HMD) from the first generation to the second generation. By incorporating multiple sensors, such as depth and RGB cameras, along with the Inertial Measurement Unit (IMU), the tracking and sensing accuracy has significantly improved from the previous generation. However, currently, there are no studies evaluating the accuracy of HoloLens 2 sensors, which makes it difficult for researchers to compare the device with others and improve it. In this paper, we systematically evaluate the sensors utilized in the HoloLens 2, including RGB, eye, depth cameras, and microphone array to show the progress compared to the previous HoloLens generation HMD. Based on the evaluation results for most of the available features in the HoloLens 2, we provide discussion and suggestions for future researchers to design applications (such as entertainment [5, 7], education [12, 25, 27] and training [23]) or research works with existing capabilities.
AB - Mixed Reality (MR) [19, 20] has developed rapidly in recent years and is used to potentially improve human living environments (such as life-related and entertainment applications) and work efficiency. Microsoft HoloLens [17] has played an essential role in the progress of MR as a state-of-the-art head-mounted device (HMD) from the first generation to the second generation. By incorporating multiple sensors, such as depth and RGB cameras, along with the Inertial Measurement Unit (IMU), the tracking and sensing accuracy has significantly improved from the previous generation. However, currently, there are no studies evaluating the accuracy of HoloLens 2 sensors, which makes it difficult for researchers to compare the device with others and improve it. In this paper, we systematically evaluate the sensors utilized in the HoloLens 2, including RGB, eye, depth cameras, and microphone array to show the progress compared to the previous HoloLens generation HMD. Based on the evaluation results for most of the available features in the HoloLens 2, we provide discussion and suggestions for future researchers to design applications (such as entertainment [5, 7], education [12, 25, 27] and training [23]) or research works with existing capabilities.
KW - HoloLens
KW - Hologram
KW - Inertial Measurement Unit (IMU)
KW - Mixed Reality
KW - Sensor Evaluation
UR - https://www.scopus.com/pages/publications/85196196212
U2 - 10.1007/978-3-031-61041-7_10
DO - 10.1007/978-3-031-61041-7_10
M3 - Conference contribution
SN - 9783031610400
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 145
EP - 165
BT - Virtual, Augmented and Mixed Reality - 16th International Conference, VAMR 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Chen, Jessie Y. C.
A2 - Fragomeni, Gino
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2024, held as part of the 26th HCI International Conference, HCII 2024
Y2 - 29 June 2024 through 4 July 2024
ER -