Journals / Bilişim Teknolojileri Dergisi / 2018 / Cilt: 11 - Sayı: 1

Posture and Motion Detection Technologies: Stereo, Time Of Flight and Structured Light Sensors

Duruş ve Hareket Algılama Teknolojileri: Stereo, Time Of Flight ve Yapısal Işık Algılayıcılar

Pages
57–73
Publication Date
2018-01-31
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In addition, a new study on Kinect is suggested in the field of health by examining the methods used in the study.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This article is a review study of the work done using posture and motion perceptions according to their usage areas.
📊
Key Findings & Data:The research has been divided into 4 classes as education, robotics, health and others.
💡
Conclusion & Impact:In addition, a new study on Kinect is suggested in the field of health by examining the methods used in the study.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Kinect · Stereo · Tof

Abstract

This article is a review study of the work done using posture and motion perceptions according to their usage areas. Stereo, tof (time of flight), structural light sensors and studies using depth data have been studied in detail. The focus of the work is creating a Kinect device that detects movement and motion using structural light. The advantages and weaknesses of the Kinect device compared to other devices have been examined. The research has been divided into 4 classes as education, robotics, health and others. In addition, a new study on Kinect is suggested in the field of health by examining the methods used in the study.

Özet

Bu makale, duruş ve hareket algılayıcıları kullanılarak yapılan çalışmaların kullanım alanlarına göre incelendiği bir derleme çalışmasıdır. Duruş ve hareket algılayıcılarında yaygın olarak kullanılan, stereo, tof(time of flight-uçuş süresi) ve yapısal ışık algılayıcıları ile derinlik verisi bilgisinin kullanıldığı çalışmalar ayrıntılı olarak incelenmiştir. Çalışmanın odağı yapısal ışık kullanılarak duruş ve hareket algılayan Kinect cihazı oluşturmaktadır. Kinect cihazının diğer cihazlara göre üstünlükleri ve zayıflıkları incelenmiştir. Yapılan araştırmalar eğitim, robotik, sağlık ve diğerleri olmak üzere 4 sınıfa ayrılmıştır. Ayrıca çalışmalarda kullanılan yöntemler incelenerek sağlık alanında Kinect ile ilgili yeni bir çalışma önerilmektedir.

🔖

Cite This Article

DURAN, F., KAYA, A. (2018). Posture and Motion Detection Technologies: Stereo, Time Of Flight and Structured Light Sensors. Bilişim Teknolojileri Dergisi, Cilt: 11 - Sayı: 1, 57–73. https://ajindex.com/articles/247945

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Voltrium Systems. “Stereo Products”. https://voltrium.wordpress.com/machine-vision/home/stereo-products/ (16.01.2017).
  2. Boris and Patrick. “ZED stereo camera simulates human visual depth perception”. https://thenextweb.com/dd/2015/05/19/zed-stereo-camera-simulates-human-visual-depth-perception/#.tnw_6Jqb68n3 (16.01.2017).
  3. Hizook. “Low-Cost Depth Cameras (aka Ranging Cameras or RGB-D Cameras) to Emerge in 2010?”. http://www.hizook.com/blog/2010/03/28/low-cost-depth-cameras-aka-ranging-cameras-or-rgb-d-cameras-emerge-2010 (16.01.2017).
  4. Hizook. “Low-Cost Depth Cameras (aka Ranging Cameras or RGB-D Cameras) to Emerge in 2010?”. http://www.hizook.com/blog/2010/03/28/low-cost-depth-cameras-aka-ranging-cameras-or-rgb-d-cameras-emerge-2010 (16.01.2017).
  5. Engadget. “Wave goodbye to Microsoft’s original Kinect for Windows”. https://www.engadget.com/2014/12/31/oroginal-kinect-discontinued/ (16.01.2017).
  6. KPT Infotech. “Leap Motion 3d Controller Somatosensory Gesture Motion Control Usb for MAC & PC with SDK”. http://cdn.buysnip.com/Original-Leap-Motion-Real-3D-interaction-Somatosensory-controller-mouse-Gesture-Motion-Control-for-PC-Robotics-buy-in-india-lowest-price-buysnip-com-1.png (11.10.2017).
  7. Li L. "Time-of-flight camera–an introduction." Technical White Paper, 2014.
  8. Zagura. “How Does The Kinect 2 Compare to the Kinect 1?”. http://zugara.com/how-does-the-kinect-2-compare-to-the-kinect-1 (16.01.2017).
  9. Kora T, Soga M, Taki H. “Golf Learning Environment Enabling Overlaid Display of Expert's Model Motion and Learner's Motion Using KINECT”. Procedia Computer Science, 60, 1559-1565, 2015.
  10. Zarzuela MM, Pernas FJD, Calzón SM, Ortega DG, Rodríguez MA. “Educational Tourism through a Virtual Reality Platform”. Procedia Computer Science, 25, 382-388, 2013.
  11. Ayala NAR, Mendívil EG, Salinas P, Rios H. “Kinesthetic Learning Applied to Mathematics Using Kinect”. Procedia Computer Science, 25, 131-135, 2013.
  12. Munaro M, Ballin G, Michieletto S, Menegatti E. “3D flow estimation for human action recognition from colored point clouds”. Biologically Inspired Cognitive Architectures, 5, 42-51, 2013.
  13. Sanna A, Lamberti F, Paravati G, Manuri F. “A Kinect-based natural interface for quadrotor control”. Entertainment Computing, 4(3), 179-186, 2013.
  14. Stoyanov T, Mojtahedzadeh R, Andreasson H, Lilienthal AJ. “Comparative evaluation of range sensor accuracy for indoor mobile robotics and automated logistics applications”. Robotics and Autonomous Systems, 61(10), 1094-1105, 2013
  15. Sgorbissa A, Verda D.