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3D Indoor Scene Reconstruction and Layout Based on Virtual Reality Technology and Few-Shot Learning. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:4134086. [PMID: 35371231 PMCID: PMC8970924 DOI: 10.1155/2022/4134086] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/18/2022] [Accepted: 02/19/2022] [Indexed: 12/04/2022]
Abstract
Indoor three-dimensional layout has a strong application background, such as virtual office three-dimensional layout planning, museum three-dimensional layout planning, and cave scene three-dimensional layout planning, which have been widely used in telecommuting, education, tourism, and other industries. In view of this, this paper proposes an indoor landscape reconstruction method based on VR (virtual reality) and draws indoor landscape information and images by using VR technology to generate an indoor landscape reconstruction panorama. A model is established to correct the distance error and reflectivity error of depth image, improve the accuracy of the depth image, and finally improve the accuracy of three-dimensional indoor scene TDR (three-dimensional reconstruction). In the process of optimizing layout, the Monte Carlo sampling method is used based on the Markov chain, and constraints are used as density functions to guide layout sampling and generate a number of reasonable scene layout suggestions in the iterative process of the sampler. Experiments show that this method can provide scientific and reasonable guidance to users' scene layout and help them complete the furniture layout quickly.
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Beshara P, Anderson DB, Pelletier M, Walsh WR. The Reliability of the Microsoft Kinect and Ambulatory Sensor-Based Motion Tracking Devices to Measure Shoulder Range-of-Motion: A Systematic Review and Meta-Analysis. SENSORS (BASEL, SWITZERLAND) 2021; 21:8186. [PMID: 34960280 PMCID: PMC8705315 DOI: 10.3390/s21248186] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 11/26/2021] [Accepted: 11/30/2021] [Indexed: 01/23/2023]
Abstract
Advancements in motion sensing technology can potentially allow clinicians to make more accurate range-of-motion (ROM) measurements and informed decisions regarding patient management. The aim of this study was to systematically review and appraise the literature on the reliability of the Kinect, inertial sensors, smartphone applications and digital inclinometers/goniometers to measure shoulder ROM. Eleven databases were screened (MEDLINE, EMBASE, EMCARE, CINAHL, SPORTSDiscus, Compendex, IEEE Xplore, Web of Science, Proquest Science and Technology, Scopus, and PubMed). The methodological quality of the studies was assessed using the consensus-based standards for the selection of health Measurement Instruments (COSMIN) checklist. Reliability assessment used intra-class correlation coefficients (ICCs) and the criteria from Swinkels et al. (2005). Thirty-two studies were included. A total of 24 studies scored "adequate" and 2 scored "very good" for the reliability standards. Only one study scored "very good" and just over half of the studies (18/32) scored "adequate" for the measurement error standards. Good intra-rater reliability (ICC > 0.85) and inter-rater reliability (ICC > 0.80) was demonstrated with the Kinect, smartphone applications and digital inclinometers. Overall, the Kinect and ambulatory sensor-based human motion tracking devices demonstrate moderate-good levels of intra- and inter-rater reliability to measure shoulder ROM. Future reliability studies should focus on improving study design with larger sample sizes and recommended time intervals between repeated measurements.
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Affiliation(s)
- Peter Beshara
- Department of Physiotherapy, Prince of Wales Hospital, Sydney, NSW 2031, Australia
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2031, Australia; (M.P.); (W.R.W.)
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - David B. Anderson
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia;
| | - Matthew Pelletier
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2031, Australia; (M.P.); (W.R.W.)
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - William R. Walsh
- Prince of Wales Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW 2031, Australia; (M.P.); (W.R.W.)
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Hospital, Sydney, NSW 2031, Australia
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Beshara P, Chen JF, Read AC, Lagadec P, Wang T, Walsh WR. The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion. SENSORS 2020; 20:s20247238. [PMID: 33348775 PMCID: PMC7766751 DOI: 10.3390/s20247238] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 12/09/2020] [Accepted: 12/15/2020] [Indexed: 12/02/2022]
Abstract
Background: Objective assessment of shoulder joint active range of motion (AROM) is critical to monitor patient progress after conservative or surgical intervention. Advancements in miniature devices have led researchers to validate inertial sensors to capture human movement. This study investigated the construct validity as well as intra- and inter-rater reliability of active shoulder mobility measurements using a coupled system of inertial sensors and the Microsoft Kinect (HumanTrak). Methods: 50 healthy participants with no history of shoulder pathology were tested bilaterally for fixed and free ROM: (1) shoulder flexion, and (2) abduction using HumanTrak and goniometry. The repeat testing of the standardised protocol was completed after seven days by two physiotherapists. Results: All HumanTrak shoulder movements demonstrated adequate reliability (intra-class correlation (ICC) ≥ 0.70). HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.93 and 0.85) than goniometry (ICCs: 0.75 and 0.53) for measuring free shoulder flexion and abduction AROM, respectively. Similarly, HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.81 and 0.94) than goniometry (ICCs: 0.70 and 0.93) for fixed flexion and abduction AROM, respectively. Construct validity between HumanTrak and goniometry was adequate except for free abduction. The differences between raters were predominately acceptable and below ±10°. Conclusions: These results indicated that the HumanTrak system is an objective, valid and reliable way to assess and track shoulder ROM.
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Affiliation(s)
- Peter Beshara
- Department of Physiotherapy, Prince of Wales Hospital, Sydney, NSW 2031, Australia; (J.F.C.); (A.C.R.)
- Faculty of Medicine, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2031, Australia; (T.W.); (W.R.W.)
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Hospital, Sydney, NSW 2301, Australia
- Correspondence:
| | - Judy F. Chen
- Department of Physiotherapy, Prince of Wales Hospital, Sydney, NSW 2031, Australia; (J.F.C.); (A.C.R.)
- Faculty of Medicine, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2031, Australia; (T.W.); (W.R.W.)
| | - Andrew C. Read
- Department of Physiotherapy, Prince of Wales Hospital, Sydney, NSW 2031, Australia; (J.F.C.); (A.C.R.)
| | | | - Tian Wang
- Faculty of Medicine, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2031, Australia; (T.W.); (W.R.W.)
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Hospital, Sydney, NSW 2301, Australia
| | - William Robert Walsh
- Faculty of Medicine, Prince of Wales Clinical School, University of New South Wales, Sydney, NSW 2031, Australia; (T.W.); (W.R.W.)
- Surgical & Orthopaedic Research Laboratories, Prince of Wales Hospital, Sydney, NSW 2301, Australia
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