title: "A window on tissue" - Using facial orientation to control endoscopic views of tissue depth.
abstract: An endoscope is an invaluable tool to interpret conditions within a body. Flexible endoscopes are controlled by a set of rotational knobs requiring a doctor's hands to guide and locate the view. This research uses a combination of a camera, facial recognition techniques and software to create a hands-free gesture recognition application for use by a physician to probe the internals of a human body. The physician will utilize the head movements to move the endoscopic camera freeing their hands to perform a procedure or other functions.
authors.affiliation: School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA. jpwachs@purdue.edu
authors.forename: Juan P
authors.initials: JP
authors.lastname: Wachs
authors.forename: Kausheek
authors.initials: K
authors.lastname: Vujjeni
authors.forename: Eric T
authors.initials: ET
authors.lastname: Matson
authors.forename: Stephen
authors.initials: S
authors.lastname: Adams
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D004724:Endoscopy / Q000379:methods*; D005145:Face / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods*; D014584:User-Computer Interface