Recognition of anxiety and depression using gait data recorded by the kinect sensor: a machine learning approach with data augmentation by Milad Shoryabi, Ahmad Hajipour, Afshin Shoeibi, Ali Foroutannia

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Real-Time Current Volume Estimation System from an Azure Kinect Camera in Pediatric Intensive Care: Technical Development by Florian Chavernac, Kévin Albert, Hoang Vu Huy, Srinivasan Ramachandran, Rita Noumeir, Philippe Jouvet

“…Monitoring respiratory parameters is essential in pediatric intensive care units (PICUs), yet bedside tidal volume (Vt) measurement is rarely performed due to the need for invasive airflow sensors. We present a real-time, non-contact respiratory monitoring system using the Azure Kinect DK (Microsoft, Redmond, WA, USA) depth camera, specifically designed for use in the PICU. …”
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Kinect-Based Sliding Mode Control for Lynxmotion Robotic Arm by Ismail Ben Abdallah, Yassine Bouteraa, Chokri Rekik

“…Therefore, the Kinect sensor is integrated into our control system to detect the different user joints coordinates. …”
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A Navigation System for the Visually Impaired: A Fusion of Vision and Depth Sensor by Nadia Kanwal, Erkan Bostanci, Keith Currie, Adrian F. Clark

“…This paper presents a complete navigation system based on low cost and physically unobtrusive sensors such as a camera and an infrared sensor. The system is based around corners and depth values from Kinect’s infrared sensor. …”
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ESTIMATION OF HUMAN BODY SHAPE PARAMETERS USING MICROSOFT KINECTSENCOR by D. M. Vasilkov

“…In the paper a human body shape estimation technology based on scan data acquired from sensor controller Microsoft Kinect is described. This device includes an RGB camera and a depth sensor that provides, for each pixel of the image,a distance from the camera focus to the object. …”
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Data-Efficient Sowing Position Estimation for Agricultural Robots Combining Image Analysis and Expert Knowledge by Shuntaro Aotake, Takuya Otani, Masatoshi Funabashi, Atsuo Takanishi

“…To implement this estimation in practice, we mounted a Kinect v2 sensor on a robot arm and integrated its 3D spatial data with axis-specific movement control. …”
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Construction of intelligent gymnastics teaching model based on neural network and artificial intelligence by Guanxi Fan, Yu Wang, Tongling Wang, Dapeng Yang

“…The proposed model integrates Kinect devices and multi-sensor data. The model uses ANN to extract key features of gymnastics movements, including joint angles, velocity, and acceleration. …”
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Multimodal deep learning for art behavior analysis and personalized teaching path generation by Yikun Li, Jie Shi

“…The research constructs a Multimodal Feature Fusion Network (MFFN) and an Evolutionary Path Generation Algorithm (EPG), utilizing Kinect sensors, digital tablets, and other devices to collect multi-modal data including visual, tactile, behavioral, and environmental information, establishing a large-scale art learning dataset. …”
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Cost-Efficient Fall Risk Assessment With Attention Augmented Vision Machine Learning on Sit-to-Stand Test Videos by Chunhua Pan, Boting Qu, Rui Miao, Xin Wang

“…While automated fall risk assessment methods using wearable sensors or depth cameras have been proposed, the physical and psychological burden of wearing extra sensors, and the high cost of specialized equipment like Kinect, limits their practical adoption. …”
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Vision-Based Fall Risk Assessment Through Attention Augmented Neural Encoding and Data Augmentation by Chunhua Pan, Rui Miao, Qing Zhang, Boting Qu, Xin Wang

“…Although prior systems using wearable sensors or depth cameras have demonstrated potential, their widespread adoption is often constrained by user discomfort, setup complexity, and the high cost of specialized equipment such as Kinect. …”
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Choreographed Soft Morphologies: exploring new ways of ideating soft architecture through material elasticity by Marina Castán, Daniel Suárez

“…Such form-giving processes were captured in real time by three Kinect sensors, offering a distinct digital raw material that can be conveniently manipulated and translated into architectural simulations, validating the method as a new way to inform soft architectural design processes. …”
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