Authors
Sreeram KY
Abstract
Gait pattern impressions are considered as evidence in the field of forensic science in terms of stature examination [based on comparison between known and unknown samples], in determining the point of entry and exit, the number of people involved in a particular crime, the type of footwear worn by the perpetrator, etc. The gait pattern is defined as a person's pattern of walking, which involves coordination of muscles and balance and results in the forward propelling of the body in a rhythm called stride. The analysis of gait pattern involves proper recording of the pattern [photographs] and its measurement, along with interpretation of the psychological test scales that were administered to the same person whose gait pattern has been recorded. The objective of this research work was to study the relevance of personality and its effect in terms of the gait pattern of a person. Keywords: Gait pattern analysis, Criminal profiling, Personality, DASS-21, Eysenck’s Personality Inventory (EPI), Human gait pattern
Introduction
Gait pattern analysis is a technique for measuring and analysing a person's walking stride. It is employed in many different disciplines, including as forensics (Nagwanshi, 2022), sports science (Gu et al., 2021; Zhang et al., 2020), and medicine (Rubino, 2000). In the field of forensic science, gait pattern analysis is a technique that is implied in order to identify individuals (Sarkar et al., 2005), exclude suspects, and reconstruct crime scenes. Growing interest has been shown in the possibility of gait pattern analysis as a tool for determining personality characteristics in recent years (Kuhnke et al., 2019).
Certain researches to support the relationship between personality and gait type. The Association between High Neuroticism-Low Extraversion and Dual-Task Performance during Walking While Talking in Non-demented Olde [Adults Brittany C. LeMonda, Jeannette R. Mahoney, Joe Verghese and Roee Holtzer] states that individuals with high extra-version levels tended to walk with a longer stride and a more vivacious gait, whereas individuals with high neuroticism levels tended to walk with a shorter stride and a more cautious pace. Gait disorders in adults and the elderly - A clinical guide [Walter Pirker, Regina Katzenschlager] states that those who are pleasant tend to walk more symmetrically. In this research the relevance of personality and its effect in terms of gait pattern of a person (Destephe et al., 2013).
Factors such as age, heredity, disease, prior medical history (surgeries), the surface they are walking on, consumption of drugs (if used), and personality which can also affect a person's gait pattern. This study is done to ascertain the relationship of gait pattern with the personality of a human, along with considering all other factors mentioned above. The personality of the subject is assessed by administering psychological assessment tests, which are used as a tool in terms of analysing the personality and the present emotional state of the subject.
References
Blaskovits, Brittany, and Craig Bennell. “Are We Revealing Hidden Aspects of Our Personality When We Walk?” Journal of Nonverbal Behavior, vol. 43, no. 3, Mar. 2019, pp. 329–56.
Gu, Xiao, et al. “Cross-Subject and Cross-Modal Transfer for Generalized Abnormal Gait Pattern Recognition.” IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 2, Feb. 2021, pp. 546–60.
Honig, Lawrence S. “Personality change and gait dysfunction.” JAMA neurology vol. 72,5 (2015): 597-8.
Janssen, Daniël, et al. “Recognition of Emotions in Gait Patterns by Means of Artificial Neural Nets.” Journal of Nonverbal Behavior, vol. 32, no. 2, Jan. 2008, pp. 79–92.
Karg, Michael, et al. “Recognition of Affect Based on Gait Patterns.” IEEE Transactions on Systems, Man and Cybernetics. Part B. Cybernetics, vol. 40, no. 4, Aug. 2010, pp. 1050–61.
Kuhnke, S., et al. “Evaluation of a Novel System for Linear Conformation, Gait, and Personality Trait Scoring and Automatic Ranking of Horses at Breed Shows: A Pilot Study in American Quarter Horses.” Journal of Equine Veterinary Science, vol. 78, July 2019, pp. 53–59.
Rubino, Frank A. “Gait Disorders: Recognition of Classic Types.” Humana Press eBooks, 2000, pp. 411–25.
Satchell, Liam et al. “Evidence of Big Five and Aggressive Personalities in Gait Biomechanics.” Journal of nonverbal behavior vol. 41,1 (2017): 35-44.
Sepas‐Moghaddam, Alireza, and Ali Etemad. “Deep Gait Recognition: A Survey.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 1, Jan. 2023, pp. 264–84.
Sun, J., et al. "Relationship between Personality and Gait: Predicting Personality with Gait Features." 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2018, pp. 1227-1231.
Troje, Nikolaus F. “Decomposing Biological Motion: A Framework for Analysis and Synthesis of Human Gait Patterns.” Journal of Vision, vol. 2, no. 5, Sept. 2002, p. 2.
Zhang, Zixuan, et al. “Deep Learning-enabled Triboelectric Smart Socks for IoT-based Gait Analysis and VR Applications.” Npj Flexible Electronics, vol. 4, no. 1, Oct. 2020.
How to cite this article?
| APA Style | KY, Sreeram. “Analysis of Gait Pattern and it’s Relationship to Human Personality.” Academic Journal of Anthropological Studies, vol. 07, no. 01, 2024, pp. 12–20. |
| Chicago Style | |
| MLA Style | |
| DOI | |
| URL |