TY - JOUR
T1 - Comparison of Kinect and Leap Motion for Intraoperative Image Interaction
AU - Feng, Yuanyuan
AU - Uchidiuno, Uchenna A.
AU - Zahiri, Hamid R.
AU - George, Ivan
AU - Park, Adrian E.
AU - Mentis, Helena
N1 - Funding Information:
We express our sincere gratitude to the surgeons and staff from Anne Arundel Medical Center that facilitated our research study. We also wish to thank the TedCas development team for their support and contribution. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by National Science Foundation [grant number 1422671].
Publisher Copyright:
© The Author(s) 2020.
PY - 2021/2
Y1 - 2021/2
N2 - Background. Touchless interaction devices have increasingly garnered attention for intraoperative imaging interaction, but there are limited recommendations on which touchless interaction mechanisms should be implemented in the operating room. The objective of this study was to evaluate the efficiency, accuracy, and satisfaction of 2 current touchless interaction mechanisms—hand motion and body motion for intraoperative image interaction. Methods. We used the TedCas plugin for ClearCanvas DICOM viewer to display and manipulate CT images. Ten surgeons performed 5 image interaction tasks—step-through, pan, zoom, circle measure, and line measure—on the 3 input interaction devices—the Microsoft Kinect, the Leap Motion, and a mouse. Results. The Kinect shared similar accuracy with the Leap Motion for most of the tasks. But it had an increased error rate in the step-through task. The Leap Motion led to shorter task completion time than the Kinect and was preferred by the surgeons, especially for the measure tasks. Discussion. Our study suggests that hand tracking devices, such as the Leap Motion, should be used for intraoperative imagining manipulation tasks that require high precision.
AB - Background. Touchless interaction devices have increasingly garnered attention for intraoperative imaging interaction, but there are limited recommendations on which touchless interaction mechanisms should be implemented in the operating room. The objective of this study was to evaluate the efficiency, accuracy, and satisfaction of 2 current touchless interaction mechanisms—hand motion and body motion for intraoperative image interaction. Methods. We used the TedCas plugin for ClearCanvas DICOM viewer to display and manipulate CT images. Ten surgeons performed 5 image interaction tasks—step-through, pan, zoom, circle measure, and line measure—on the 3 input interaction devices—the Microsoft Kinect, the Leap Motion, and a mouse. Results. The Kinect shared similar accuracy with the Leap Motion for most of the tasks. But it had an increased error rate in the step-through task. The Leap Motion led to shorter task completion time than the Kinect and was preferred by the surgeons, especially for the measure tasks. Discussion. Our study suggests that hand tracking devices, such as the Leap Motion, should be used for intraoperative imagining manipulation tasks that require high precision.
KW - gesture
KW - human-computer interaction
KW - medical image interaction
KW - surgery
KW - usability
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U2 - 10.1177/1553350620947206
DO - 10.1177/1553350620947206
M3 - Article
C2 - 32812838
AN - SCOPUS:85089700002
SN - 1553-3506
VL - 28
SP - 33
EP - 40
JO - Surgical Innovation
JF - Surgical Innovation
IS - 1
ER -