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YesAims: To create a gait database with optimum accuracy of joint rotational data and an accu-rate\udrepresentation of 3D volume, and explore the potential of using the database in studying the\udrelationship between static and dynamic features of a human’s gait.\udStudy Design: The study collected gait samples from 38 subjects, in which they were asked to\udwalk, run, walk to run transition, and walk with a bag. The motion capture, video, and 3d\udmeasurement data extracted was used to analyse and build a correlation between features.\udPlace and Duration of Study: The study was conducted in the University of Bradford. With the\udethical approval from the University, 38 subjects’ motion and body volumes were recorded at the\udmotion capture studio from May 2011- February 2013.\udMethodology: To date, the database includes 38 subjects (5 females, 33 males) conducting walk\udcycles with speed and load as covariants. A correlation analysis was conducted to ex-plore the\udpotential of using the database to study the relationship between static and dynamic features. The\udvolumes and surface area of body segments were used as static features. Phased-weighted\udmagnitudes 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\udevaluate the relationship between the two sets of data.\udResults: A new database was created with 38 subjects conducting four forms of gait (walk, run,\udwalk to run, and walking with a hand bag). Each subject recording included a total of 8 samples of\udeach form of gait, and a 3D point cloud (representing the 3D volume of the subject). Using a Pvalue\ud(P<.05) as a criterion for statistical significance, 386 pairs of features displayed a strong\udrelationship.\udConclusion: A novel database available to the scientific community has been created. The\uddatabase can be used as an ideal benchmark to apply gait recognition techniques, and based on\udthe correlation analysis, can offer a detailed perspective of the dynamics of gait and its relationship\udto volume. Further research in the relationship between static and dynamic features can contribute\udto the field of biomechanical analysis, use of biometrics in forensic applications, and 3D virtual walk\udsimulation

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