Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Gesture Recognition Ordering System Based on Kinect v2 Stereo Vision. |
| Συγγραφείς: |
Chen, Bing-Yan, Peng, Cheng-Yu |
| Πηγή: |
Sensors & Materials; 2026, Vol. 38 Issue 4, Part 3, p2025-2051, 27p |
| Θεματικοί όροι: |
Kinect (Motion sensor), Stereo vision (Computer science), Robot control systems, Motion capture (Human mechanics), Pose estimation (Computer vision), Human-computer interaction |
| Περίληψη: |
We propose a contactless automated ordering system utilizing Kinect v2 sensing. The system applies continuous-wave indirect time-of-flight (CW-iToF) technology to detect infrared phase shifts. This sensing method generates precise 3D data by extracting 25 skeletal feature points. The system selects six key joints to formulate four three-dimensional (3D) angular features for gesture recognition. Our adaptive geometric model utilizes triangulation to calibrate interaction regions using tester height and standing distance. This sensor-driven approach achieves a recognition success rate of 96.5% at 1.5 m and 95.1% at 2.5 m. The system identifies the selected meal and instructs a robotic arm for food preparation. This architecture establishes a fully contactless and hygienic automated dining framework. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |