Estimation of body weight from the base of gait and the area swept in one stride—forensic implications
Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the ba...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Singh, Bahadur [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
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2018 |
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| Anmerkung: |
© The Author(s) 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Egyptian Journal of Forensic Sciences - Berlin : Springer, 2011, 8(2018), 1 vom: 18. Aug. |
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| Übergeordnetes Werk: |
volume:8 ; year:2018 ; number:1 ; day:18 ; month:08 |
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| DOI / URN: |
10.1186/s41935-018-0082-6 |
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| Katalog-ID: |
SPR038343851 |
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| 520 | |a Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. | ||
| 650 | 4 | |a Forensic science |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Forensic anthropology |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Forensic podiatry |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Spatial gait parameters |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Estimation of body weight |7 (dpeaa)DE-He213 | |
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| 700 | 1 | |a Kaur, Kawaljit |4 aut | |
| 700 | 1 | |a Kanchan, Tanuj |4 aut | |
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10.1186/s41935-018-0082-6 doi (DE-627)SPR038343851 (SPR)s41935-018-0082-6-e DE-627 ger DE-627 rakwb eng Singh, Bahadur verfasserin aut Estimation of body weight from the base of gait and the area swept in one stride—forensic implications 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. Forensic science (dpeaa)DE-He213 Forensic anthropology (dpeaa)DE-He213 Forensic podiatry (dpeaa)DE-He213 Spatial gait parameters (dpeaa)DE-He213 Estimation of body weight (dpeaa)DE-He213 Krishan, Kewal (orcid)0000-0001-5321-0958 aut Kaur, Kawaljit aut Kanchan, Tanuj aut Enthalten in Egyptian Journal of Forensic Sciences Berlin : Springer, 2011 8(2018), 1 vom: 18. Aug. (DE-627)670211184 (DE-600)2631791-6 2090-5939 nnns volume:8 year:2018 number:1 day:18 month:08 https://dx.doi.org/10.1186/s41935-018-0082-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_4753 AR 8 2018 1 18 08 |
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10.1186/s41935-018-0082-6 doi (DE-627)SPR038343851 (SPR)s41935-018-0082-6-e DE-627 ger DE-627 rakwb eng Singh, Bahadur verfasserin aut Estimation of body weight from the base of gait and the area swept in one stride—forensic implications 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. Forensic science (dpeaa)DE-He213 Forensic anthropology (dpeaa)DE-He213 Forensic podiatry (dpeaa)DE-He213 Spatial gait parameters (dpeaa)DE-He213 Estimation of body weight (dpeaa)DE-He213 Krishan, Kewal (orcid)0000-0001-5321-0958 aut Kaur, Kawaljit aut Kanchan, Tanuj aut Enthalten in Egyptian Journal of Forensic Sciences Berlin : Springer, 2011 8(2018), 1 vom: 18. Aug. (DE-627)670211184 (DE-600)2631791-6 2090-5939 nnns volume:8 year:2018 number:1 day:18 month:08 https://dx.doi.org/10.1186/s41935-018-0082-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_4753 AR 8 2018 1 18 08 |
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10.1186/s41935-018-0082-6 doi (DE-627)SPR038343851 (SPR)s41935-018-0082-6-e DE-627 ger DE-627 rakwb eng Singh, Bahadur verfasserin aut Estimation of body weight from the base of gait and the area swept in one stride—forensic implications 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. Forensic science (dpeaa)DE-He213 Forensic anthropology (dpeaa)DE-He213 Forensic podiatry (dpeaa)DE-He213 Spatial gait parameters (dpeaa)DE-He213 Estimation of body weight (dpeaa)DE-He213 Krishan, Kewal (orcid)0000-0001-5321-0958 aut Kaur, Kawaljit aut Kanchan, Tanuj aut Enthalten in Egyptian Journal of Forensic Sciences Berlin : Springer, 2011 8(2018), 1 vom: 18. Aug. (DE-627)670211184 (DE-600)2631791-6 2090-5939 nnns volume:8 year:2018 number:1 day:18 month:08 https://dx.doi.org/10.1186/s41935-018-0082-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_4753 AR 8 2018 1 18 08 |
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10.1186/s41935-018-0082-6 doi (DE-627)SPR038343851 (SPR)s41935-018-0082-6-e DE-627 ger DE-627 rakwb eng Singh, Bahadur verfasserin aut Estimation of body weight from the base of gait and the area swept in one stride—forensic implications 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. Forensic science (dpeaa)DE-He213 Forensic anthropology (dpeaa)DE-He213 Forensic podiatry (dpeaa)DE-He213 Spatial gait parameters (dpeaa)DE-He213 Estimation of body weight (dpeaa)DE-He213 Krishan, Kewal (orcid)0000-0001-5321-0958 aut Kaur, Kawaljit aut Kanchan, Tanuj aut Enthalten in Egyptian Journal of Forensic Sciences Berlin : Springer, 2011 8(2018), 1 vom: 18. Aug. (DE-627)670211184 (DE-600)2631791-6 2090-5939 nnns volume:8 year:2018 number:1 day:18 month:08 https://dx.doi.org/10.1186/s41935-018-0082-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_4753 AR 8 2018 1 18 08 |
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10.1186/s41935-018-0082-6 doi (DE-627)SPR038343851 (SPR)s41935-018-0082-6-e DE-627 ger DE-627 rakwb eng Singh, Bahadur verfasserin aut Estimation of body weight from the base of gait and the area swept in one stride—forensic implications 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. Forensic science (dpeaa)DE-He213 Forensic anthropology (dpeaa)DE-He213 Forensic podiatry (dpeaa)DE-He213 Spatial gait parameters (dpeaa)DE-He213 Estimation of body weight (dpeaa)DE-He213 Krishan, Kewal (orcid)0000-0001-5321-0958 aut Kaur, Kawaljit aut Kanchan, Tanuj aut Enthalten in Egyptian Journal of Forensic Sciences Berlin : Springer, 2011 8(2018), 1 vom: 18. Aug. (DE-627)670211184 (DE-600)2631791-6 2090-5939 nnns volume:8 year:2018 number:1 day:18 month:08 https://dx.doi.org/10.1186/s41935-018-0082-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_4753 AR 8 2018 1 18 08 |
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Estimation of body weight from the base of gait and the area swept in one stride—forensic implications |
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Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. © The Author(s) 2018 |
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Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. © The Author(s) 2018 |
| abstract_unstemmed |
Background Forensic gait analysis is a new discipline in forensic sciences but gaining popularity worldwide. CCTV camera footages from the scene of a crime can reveal a great detail about the perpetrator, and gait is one of them. Every individual possesses a unique manner of walking, which is the basis of forensic gait analysis. In the absence of CCTV cameras, footprint trails at the crime scene can provide valuable information about the perpetrator. The stature of the perpetrator can be estimated from spatial gait parameters, which can fasten the speed of the identification process. However, previous studies of the spatial gait parameters did not explore the possibility to estimate the body weight from spatial gait parameters. In the present study, two variables of spatial gait parameters, namely “base of gait” and “area swept in one stride,” were taken for the estimation of body weight. Methodology A sample of 388 adult males ranging in age from 18 to 30 years was taken for the present study. The data were collected from villages situated in district Ludhiana, Punjab, North India. Body weight of each participant was taken using a standard methodology. Two spatial gait parameters namely “base of gait” and the “area swept in one stride” were recorded from the dynamic footprints of the participants using the standard methodology and the novel technique devised by one of the authors (BS) respectively. After checking the normality of the data, a parametric t test statistics showed no bilateral asymmetry in both the gait parameters. Results Spatial gait parameters, i.e., base of gait (left R = 0.255, right R = 0.243) and area swept in one stride (left R = 0.204, right R = 0.221) showed positive, weak, but significant correlation with the body weight of the person. Linear and multiple regression models for the body weight estimation were developed in the present study. The highest accuracy in body weight estimation (SEE = 12.54) was achieved from the left base of gait. The multiple regression models indicate no improvement in the estimation error. Conclusion It can be concluded from the present study that the body weight of a person can be predicted from the spatial gait parameters to some extent. However, the weak values of the correlation and higher values of estimation error suggest that the base of gait and area swept in one stride should only be used in such situations when other means of body weight estimation cannot be applied. © The Author(s) 2018 |
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Estimation of body weight from the base of gait and the area swept in one stride—forensic implications |
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Krishan, Kewal Kaur, Kawaljit Kanchan, Tanuj |
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