Estimating the Dead Space Volume Between a Headform and N95 Filtering Facepiece Respirator Using Microsoft Kinect

N95 filtering facepiece respirator (FFR) dead space is an important factor for respirator design. The dead space refers to the cavity between the internal surface of the FFR and the wearer's facial surface. This article presents a novel method to estimate the dead space volume of FFRs and experimental validation. In this study, six FFRs and five headforms (small, medium, large, long/narrow, and short/wide) are used for various FFR and headform combinations. Microsoft Kinect Sensors (Microsoft Corporation, Redmond, WA) are used to scan the headforms without respirators and then scan the headforms with the FFRs donned. The FFR dead space is formed through geometric modeling software, and finally the volume is obtained through LS-DYNA (Livermore Software Technology Corporation, Livermore, CA). In the experimental validation, water is used to measure the dead space. The simulation and experimental dead space volumes are 107.5–167.5 mL and 98.4–165.7 mL, respectively. Linear regression analysis is conducted to correlate the results from Kinect and water, and R2 = 0.85.

[1]  W R Myers,et al.  Causes of in-facepiece sampling bias--II. Full-facepiece respirators. , 1988, The Annals of occupational hygiene.

[2]  Zhipeng Lei,et al.  Computing Carbon Dioxide and Humidity in Filtering Facepiece Respirator Cavity During Breathing Cycles , 2014 .

[3]  Zhengyou Zhang,et al.  Microsoft Kinect Sensor and Its Effect , 2012, IEEE Multim..

[4]  Ziqing Zhuang,et al.  Headform and N95 Filtering Facepiece Respirator Interaction: Contact Pressure Simulation and Validation , 2012, Journal of occupational and environmental hygiene.

[5]  Andrew W. Fitzgibbon,et al.  KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera , 2011, UIST.

[6]  Ajmal S. Mian,et al.  Using Kinect for face recognition under varying poses, expressions, illumination and disguise , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

[7]  George Niezgoda,et al.  Flat Fold and Cup-Shaped N95 Filtering Facepiece Respirator Face Seal Area and Pressure Determinations: A Stereophotogrammetry Study , 2013, Journal of occupational and environmental hygiene.

[8]  Dieter Fox,et al.  RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments , 2012, Int. J. Robotics Res..

[9]  Zhipeng Lei,et al.  Simulation and evaluation of respirator faceseal leaks using computational fluid dynamics and infrared imaging. , 2013, The Annals of occupational hygiene.

[10]  Ziqing Zhuang,et al.  A Novel Algorithm for Determining Contact Area Between a Respirator and a Headform , 2014, Journal of occupational and environmental hygiene.

[11]  Ligang Liu,et al.  Scanning 3D Full Human Bodies Using Kinects , 2012, IEEE Transactions on Visualization and Computer Graphics.

[12]  Jingzhou Yang,et al.  Layered Pentahedral Mesh Generation for Biomechanical Geometries with Unclosed Surfaces , 2013 .

[13]  Tiina Reponen,et al.  Respiratory Protection Provided by N95 Filtering Facepiece Respirators Against Airborne Dust and Microorganisms in Agricultural Farms , 2005, Journal of occupational and environmental hygiene.

[14]  Luc Van Gool,et al.  Random Forests for Real Time 3D Face Analysis , 2012, International Journal of Computer Vision.

[15]  Didier Stricker,et al.  3D shape scanning with a Kinect , 2011, SIGGRAPH '11.

[16]  J Moxham,et al.  Dynamic dead space in face masks used with noninvasive ventilators: a lung model study , 2004, European Respiratory Journal.

[17]  Günther Greiner,et al.  Automatic reconstruction of personalized avatars from 3D face scans , 2011, Comput. Animat. Virtual Worlds.

[18]  W C Hinds,et al.  The effect of respirator dead space and lung retention on exposure estimates. , 1993, American Industrial Hygiene Association journal.

[19]  Andrew W. Fitzgibbon,et al.  Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.

[20]  K M Coyne,et al.  Effect of external dead volume on performance while wearing a respirator. , 2000, AIHAJ : a journal for the science of occupational and environmental health and safety.

[21]  Jongmoo Choi,et al.  Laser scan quality 3-D face modeling using a low-cost depth camera , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[22]  Zhaoli Guo,et al.  A lattice Boltzmann study of gas flows in a long micro-channel , 2013, Comput. Math. Appl..