Non-Contact Human Body Parameter Measurement Based on Kinect Sensor

Adikari, Sasadara B.; Ganegoda, N. G. C.; Wanniarachchi, W. K. I. L.

doi:10.9790/0661-1903028085

Cited by 12 publications

(7 citation statements)

References 10 publications

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“…Chest Waist Hip Average [38] 1.676% 1.52% 1.29% 1.49% PRA [39] 4.87% 4.30% 5.63% 4.93% EIR [39] 5.02% 4.74% 4.57% 4.78% P2P [39] 5.06% 4.30% 4.16% 4.51% [40] 11.60% 10.97% N/A 11.28% [41] 4.76% 4.22% 6.46% 5.15% [42] 1.49% 2.78% 1.81% 2.03% Basic [43] 4.70% 9.01% 1.10% 4.93% Camera [43] 4.85% 9.10% 1.20% 5.05% Styku [43] 2.50% 6.25% 2.40% 3.72% [44] 2.11% 4.66% 4.31% 3.69% Ours 0.38% 1.55% 0.82% 0.92%…”

Section: Estimation Methodsmentioning

confidence: 99%

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

Fuster-Guilló

Azorín-López

Saval-Calvo

et al. 2020

Sensors

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This research aims to improve dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved using multimedia technologies. However, there are few studies using 3D data and VR technologies for this purpose. On the other hand, obtaining 3D measurements of the human body and analyzing them over time (4D) in patients undergoing dietary treatment is a challenging field. The main contribution of the work is to provide a framework to study the effect of 4D body model visualization on adherence to obesity treatment. The system can obtain a complete 3D model of a body using low-cost technology, allowing future straightforward transference with sufficient accuracy and realistic visualization, enabling the analysis of the evolution (4D) of the shape during the treatment of obesity. The 3D body models will be used for studying the effect of visualization on adherence to obesity treatment using 2D and VR devices. Moreover, we will use the acquired 3D models to obtain measurements of the body. An analysis of the accuracy of the proposed methods for obtaining measurements with both synthetic and real objects has been carried out.

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Section: Estimation Methodsmentioning

confidence: 99%

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

Fuster-Guilló

Azorín-López

Saval-Calvo

et al. 2020

Sensors

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show abstract

“…There are several methods of conducting this study, but the analysis of variance (ANOVA) method is preferable because it is more adaptable to solving complex problems [26]. The Analysis of variance (ANOVA) method is computed using ( 8)- (13).…”

Section: Gauge Repeatability and Reproducibilitymentioning

confidence: 99%

“…Several interesting studies have been conducted on the use of the Kinect sensor to capture human body measurement. Adikari et al [13] developed a non-contact human body parameter measurement system based on Kinect Sensor (V2). This was aimed at creating a virtual dressing room (VDR) using collected data.…”

Section: Introductionmentioning

confidence: 99%

Investigation into the suitability of kinect sensor for automated body measurement

Ejidokun

Olasunkanmi²,

Olutayo³

et al. 2023

IJEECS

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Due to the low cost and wide availability of the Kinect sensor, researchers and experts in the field of anthropometry, sizing and clothing fiting are leveraging on its inbuilt 3D camera to develop systems for automated body measurement. This study focuses on the evaluation of the Microsoft Kinect (V1) sensor to determine its suitability for automated body measurement. The study was conducted by data collection of various body dimensions of test subjects using a measuring tape as a reference. Furthermore, a statistical approach known as the measurement system analysis was used to investigate the sensor's capability to produce accurate, reliable and consistent body measurements. The results obtained shows indicates that there exists very little variation when the measurement is repeated. Also, the instrument is relatively stable, with minimal bias which can be corrected by calibration. The outcome of the study proves the effectiveness of the Microsoft Kinect sensor as a means of conducting body measurement.

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“…16 Bone models are established after identifying the user's body parts. 17 Arduino is an open source electronic prototype platform including hardware (Arduino circuit board) and software (ArduinoIDE), which supports cross-platform development. 18 In Sipani et al's design 19 of intelligent environment monitoring system, Arduino Uno circuit board were used to monitor environmental parameters with utmost possible accuracy.…”

Section: Somatosensory Control and Environmental Perceptionmentioning

confidence: 99%

“…Using Kinect attitude camera equipped with color camera, infrared camera and infrared projector, 14 video images with depth information can be obtained by Light Coding method 15 and Time Of Light method 16 . Bone models are established after identifying the user's body parts 17 . Arduino is an open source electronic prototype platform including hardware (Arduino circuit board) and software (ArduinoIDE), which supports cross‐platform development 18 .…”

Section: Related Wordmentioning

confidence: 99%

Landscape Rippling: Context‐based water‐mediated interaction design

Lin

Hong

She

et al. 2022

Computer Animation & Virtual

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With a core purpose of helping users to understand the context, a water interface provides possibility for enhancing user experience in interaction process.Starting from analyzing existing water-mediated interaction approaches, we proposed a water-mediated interaction design model and a corresponding user experience model, aiming to eliminate the boundary between users and the context with water as the medium. According to the proposed model, we implemented a water-mediated interaction system Landscape Rippling, with the painting "A Panorama of Rivers and Mountains" as its context. Ultimately, user experience tests of the interaction system demonstrate the effectiveness of this water-mediated interaction design model.

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Non-Contact Human Body Parameter Measurement Based on Kinect Sensor

Cited by 12 publications

References 10 publications

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments

Investigation into the suitability of kinect sensor for automated body measurement

Landscape Rippling: Context‐based water‐mediated interaction design

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