Bradford Multi-Modal Gait Database: Gateway to Using Static Measurements to Create a Dynamic Gait Signature

YesAims: To create a gait database with optimum accuracy of joint rotational data and an accu-rate representation of 3D volume, and explore the potential of using the database in studying the relationship between static and dynamic features of a human’s gait. Study Design: The study collected gait samples from 38 subjects, in which they were asked to walk, run, walk to run transition, and walk with a bag. The motion capture, video, and 3d measurement data extracted was used to analyse and build a correlation between features. Place and Duration of Study: The study was conducted in the University of Bradford. With the ethical approval from the University, 38 subjects’ motion and body volumes were recorded at the motion capture studio from May 2011- February 2013. Methodology: To date, the database includes 38 subjects (5 females, 33 males) conducting walk cycles with speed and load as covariants. A correlation analysis was conducted to ex-plore the potential of using the database to study the relationship between static and dynamic features. The volumes and surface area of body segments were used as static features. Phased-weighted magnitudes extracted through a Fourier transform of the rotation temporal data of the joints from the motion capture were used as dynamic features. The Pearson correlation coefficient is used to evaluate the relationship between the two sets of data. Results: A new database was created with 38 subjects conducting four forms of gait (walk, run, walk to run, and walking with a hand bag). Each subject recording included a total of 8 samples of each form of gait, and a 3D point cloud (representing the 3D volume of the subject). Using a Pvalue (P<.05) as a criterion for statistical significance, 386 pairs of features displayed a strong relationship. Conclusion: A novel database available to the scientific community has been created. The database can be used as an ideal benchmark to apply gait recognition techniques, and based on the correlation analysis, can offer a detailed perspective of the dynamics of gait and its relationship to volume. Further research in the relationship between static and dynamic features can contribute to the field of biomechanical analysis, use of biometrics in forensic applications, and 3D virtual walk simulation

An outline on the global insights of implementation and challenges in primary healthcare telemedicine

Background: The utilization of telephone consultation (TC) has seen a significant increase of up to 86% since the start of the COVID-19 pandemic. In order to bridge the existing knowledge gap by examining the usage and efficacy of telephone or virtual consultations in a clinical setting during the COVID-19 lockdown, the objective of the current review is to gain a comprehensive understanding of the advantages and limitations of TC in the light of physicians and familial perspectives to enlighten future healthcare planning and decision-making. Methods: The data utilized in this research spanning the period of COVID-19 and other studies related to TC that occurred before the onset of the pandemic were gathered from a variety of reputable sources, such as Pubmed, Pubmed Central, Google Scholar, Research Gate, and Science Direct with the pre-established eligibility criteria and relevant keywords. Results: Studies revealed that the incorporation of teleconsultation has demonstrated numerous benefits for patients, including effective handling of data, fair accessibility, and adherence to standardized care protocols. Nonetheless, the implementation of TC also presents obstacles such as insufficiently trained staff, technical hurdles like connectivity issues and unreliable internet connections, and the possibility of erroneous diagnoses. Conclusions: During the COVID-19 phase, TC has proven effective with fewer limitations that can be minimized by training the healthcare staff and overcoming technical issues

The relationship between 2D static features and 2D dynamic features used in gait recognition

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