Deep learning in surgical workflow analysis: a review of phase and step recognition

KC Demir, H Schieber, T Weise, D Roth… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …

ThermoHands: A Benchmark for 3D Hand Pose Estimation from Egocentric Thermal Images

F Ding, Y Zhu, X Wen, G Liu, CX Lu - arxiv preprint arxiv:2403.09871, 2024 - arxiv.org
Designing egocentric 3D hand pose estimation systems that can perform reliably in
complex, real-world scenarios is crucial for downstream applications. Previous approaches …

A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites

VF Rodrigues, RS Antunes, LA Seewald, R Bazo… - Future Generation …, 2022 - Elsevier
Despite the advancements to improve patient safety, a significant number of errors still occur
in Operating Suites (OS). To improve medical decision-making and the resulting quality of …

Depth analysis of kinect v2 sensor in different mediums

A Bhateja, A Shrivastav, H Chaudhary, B Lall… - Multimedia Tools and …, 2022 - Springer
From the last few years, RGB-D cameras are widely used by researchers in various fields.
Their reasonable cost and the ability to estimate distances at a high frame rate have made …

Baptizo: A sensor fusion based model for tracking the identity of human poses

R Bazo, E Reis, LA Seewald, VF Rodrigues… - Information …, 2020 - Elsevier
Recent advances in the capabilities of computing devices enable new methods to estimate
the pose of humans. Human pose estimation techniques are relevant for several industry …

Synchronization of multiple time-of-flight cameras using photodiodes

T Wübbenhorst, F Wermke, B Meffert - 2020 IEEE SENSORS, 2020 - ieeexplore.ieee.org
Time-of-flight (ToF) cameras are an evolving technology, finding applications in a wide
range of fields, including machine vision, automotive applications, face or hand recognition …

Interference avoidance for two time-of-flight cameras using autonomous optical synchronization

F Wermke, T Wübbenhorst… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Time-of-Flight (ToF) cameras acquire 3-D images where each pixel relates to the distance in
the observed scene. These images are acquired by emitting modulated light and measuring …

Interference model of two time-of-flight cameras

F Wermke, B Meffert - 2019 IEEE SENSORS, 2019 - ieeexplore.ieee.org
The last decade bore witness to increased development of time-of-flight (ToF) camera
hardware, algorithms, and applications, particularly 3-D measurement in the fields of human …

Surgical Phase Recognition: A Review and Evaluation of Current Approaches

KC Demir, H Schieber, D Roth, A Maier, SH Yang - Authorea Preprints, 2022 - techrxiv.org
Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …

Optical Synchronization of Multiple Time-of-Flight Cameras Implementing TDMA

F Wermke, T Wübbenhorst, B Meffert - 2020 IEEE SENSORS, 2020 - ieeexplore.ieee.org
Time-of-Flight (ToF) cameras are a promising alternative to current 3-D imaging systems. A
setup of multiple ToF cameras is used to overcome their comparatively lower resolution …