Year: 2026
Type: article
Abstract: 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.
Source: Sensors and Materials
DOI: 10.18494/sam6124
Authors: Bing-Yan Chen, Cheng-Yu Peng
Institution: National Chin-Yi University of Technology
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $748
OpenAlex ID: W7154399201
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