Using a Kinect sensor to acquire biological motion: Toolbox and evaluation

Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving hum...
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Gespeichert in:

Autor*in:	Shi, Yanwei [verfasserIn] Ma, Xiaochi [verfasserIn] Ma, Zheng [verfasserIn] Wang, Jiahuan [verfasserIn] Yao, Nailang [verfasserIn] Gu, Quan [verfasserIn] Wang, Ci [verfasserIn] Gao, Zaifeng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	Biological motion Kinect Toolbox

Übergeordnetes Werk:	Enthalten in: Behavior research methods, instruments & computers - Austin, Tex. : Psychonomic Society Publ., 1984, 50(2017), 2 vom: 04. Apr., Seite 518-529
Übergeordnetes Werk:	volume:50 ; year:2017 ; number:2 ; day:04 ; month:04 ; pages:518-529

Links:	Volltext

DOI / URN:	10.3758/s13428-017-0883-9

Katalog-ID:	SPR03170753X

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520			\|a Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research.
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allfields	10.3758/s13428-017-0883-9 doi (DE-627)SPR03170753X (SPR)s13428-017-0883-9-e DE-627 ger DE-627 rakwb eng 150 ASE 77.00 bkl Shi, Yanwei verfasserin aut Using a Kinect sensor to acquire biological motion: Toolbox and evaluation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research. Biological motion (dpeaa)DE-He213 Kinect (dpeaa)DE-He213 Toolbox (dpeaa)DE-He213 Ma, Xiaochi verfasserin aut Ma, Zheng verfasserin aut Wang, Jiahuan verfasserin aut Yao, Nailang verfasserin aut Gu, Quan verfasserin aut Wang, Ci verfasserin aut Gao, Zaifeng verfasserin aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 50(2017), 2 vom: 04. Apr., Seite 518-529 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:50 year:2017 number:2 day:04 month:04 pages:518-529 https://dx.doi.org/10.3758/s13428-017-0883-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 77.00 ASE AR 50 2017 2 04 04 518-529
spelling	10.3758/s13428-017-0883-9 doi (DE-627)SPR03170753X (SPR)s13428-017-0883-9-e DE-627 ger DE-627 rakwb eng 150 ASE 77.00 bkl Shi, Yanwei verfasserin aut Using a Kinect sensor to acquire biological motion: Toolbox and evaluation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research. Biological motion (dpeaa)DE-He213 Kinect (dpeaa)DE-He213 Toolbox (dpeaa)DE-He213 Ma, Xiaochi verfasserin aut Ma, Zheng verfasserin aut Wang, Jiahuan verfasserin aut Yao, Nailang verfasserin aut Gu, Quan verfasserin aut Wang, Ci verfasserin aut Gao, Zaifeng verfasserin aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 50(2017), 2 vom: 04. Apr., Seite 518-529 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:50 year:2017 number:2 day:04 month:04 pages:518-529 https://dx.doi.org/10.3758/s13428-017-0883-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 77.00 ASE AR 50 2017 2 04 04 518-529
allfields_unstemmed	10.3758/s13428-017-0883-9 doi (DE-627)SPR03170753X (SPR)s13428-017-0883-9-e DE-627 ger DE-627 rakwb eng 150 ASE 77.00 bkl Shi, Yanwei verfasserin aut Using a Kinect sensor to acquire biological motion: Toolbox and evaluation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research. Biological motion (dpeaa)DE-He213 Kinect (dpeaa)DE-He213 Toolbox (dpeaa)DE-He213 Ma, Xiaochi verfasserin aut Ma, Zheng verfasserin aut Wang, Jiahuan verfasserin aut Yao, Nailang verfasserin aut Gu, Quan verfasserin aut Wang, Ci verfasserin aut Gao, Zaifeng verfasserin aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 50(2017), 2 vom: 04. Apr., Seite 518-529 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:50 year:2017 number:2 day:04 month:04 pages:518-529 https://dx.doi.org/10.3758/s13428-017-0883-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 77.00 ASE AR 50 2017 2 04 04 518-529
allfieldsGer	10.3758/s13428-017-0883-9 doi (DE-627)SPR03170753X (SPR)s13428-017-0883-9-e DE-627 ger DE-627 rakwb eng 150 ASE 77.00 bkl Shi, Yanwei verfasserin aut Using a Kinect sensor to acquire biological motion: Toolbox and evaluation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research. Biological motion (dpeaa)DE-He213 Kinect (dpeaa)DE-He213 Toolbox (dpeaa)DE-He213 Ma, Xiaochi verfasserin aut Ma, Zheng verfasserin aut Wang, Jiahuan verfasserin aut Yao, Nailang verfasserin aut Gu, Quan verfasserin aut Wang, Ci verfasserin aut Gao, Zaifeng verfasserin aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 50(2017), 2 vom: 04. Apr., Seite 518-529 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:50 year:2017 number:2 day:04 month:04 pages:518-529 https://dx.doi.org/10.3758/s13428-017-0883-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 77.00 ASE AR 50 2017 2 04 04 518-529
allfieldsSound	10.3758/s13428-017-0883-9 doi (DE-627)SPR03170753X (SPR)s13428-017-0883-9-e DE-627 ger DE-627 rakwb eng 150 ASE 77.00 bkl Shi, Yanwei verfasserin aut Using a Kinect sensor to acquire biological motion: Toolbox and evaluation 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research. Biological motion (dpeaa)DE-He213 Kinect (dpeaa)DE-He213 Toolbox (dpeaa)DE-He213 Ma, Xiaochi verfasserin aut Ma, Zheng verfasserin aut Wang, Jiahuan verfasserin aut Yao, Nailang verfasserin aut Gu, Quan verfasserin aut Wang, Ci verfasserin aut Gao, Zaifeng verfasserin aut Enthalten in Behavior research methods, instruments & computers Austin, Tex. : Psychonomic Society Publ., 1984 50(2017), 2 vom: 04. Apr., Seite 518-529 (DE-627)32998067X (DE-600)2048669-8 1532-5970 nnns volume:50 year:2017 number:2 day:04 month:04 pages:518-529 https://dx.doi.org/10.3758/s13428-017-0883-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014 77.00 ASE AR 50 2017 2 04 04 518-529
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authorswithroles_txt_mv	Shi, Yanwei @@aut@@ Ma, Xiaochi @@aut@@ Ma, Zheng @@aut@@ Wang, Jiahuan @@aut@@ Yao, Nailang @@aut@@ Gu, Quan @@aut@@ Wang, Ci @@aut@@ Gao, Zaifeng @@aut@@
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(2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. 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author	Shi, Yanwei
spellingShingle	Shi, Yanwei ddc 150 bkl 77.00 misc Biological motion misc Kinect misc Toolbox Using a Kinect sensor to acquire biological motion: Toolbox and evaluation
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topic_title	150 ASE 77.00 bkl Using a Kinect sensor to acquire biological motion: Toolbox and evaluation Biological motion (dpeaa)DE-He213 Kinect (dpeaa)DE-He213 Toolbox (dpeaa)DE-He213
topic	ddc 150 bkl 77.00 misc Biological motion misc Kinect misc Toolbox
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title	Using a Kinect sensor to acquire biological motion: Toolbox and evaluation
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title_full	Using a Kinect sensor to acquire biological motion: Toolbox and evaluation
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author_browse	Shi, Yanwei Ma, Xiaochi Ma, Zheng Wang, Jiahuan Yao, Nailang Gu, Quan Wang, Ci Gao, Zaifeng
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title_sort	using a kinect sensor to acquire biological motion: toolbox and evaluation
title_auth	Using a Kinect sensor to acquire biological motion: Toolbox and evaluation
abstract	Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research.
abstractGer	Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research.
abstract_unstemmed	Abstract Biological motion (BM) is the movement of animate entities, which conveys rich social information. To obtain pure BM, researchers nowadays predominantly use point-light displays (PLDs), which depict BM through a set of light points (e.g., 12 points) placed at distinct joints of a moving human body. Most prevalent BM stimuli are created by state-of-the-art motion capture systems. Although these stimuli are highly precise, the motion capture system is expensive and bulky, and its process of constructing a PLD-based BM is time-consuming and complex. These factors impede the investigation of BM mechanisms. In this study, we propose a free Kinect-based biological motion capture (KBC) toolbox based on the Kinect Sensor 2.0 in C++. The KBC toolbox aims to help researchers acquire PLD-based BM in an easy, low-cost, and user-friendly way. We conducted three experiments to examine whether KBC-generated BM can genuinely reflect the processing characteristics of BM: (1) Is BM from this source processed globally in vision? (2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. Therefore, we think that the KBC toolbox can be useful in generating BM for future research.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2014
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title_short	Using a Kinect sensor to acquire biological motion: Toolbox and evaluation
url	https://dx.doi.org/10.3758/s13428-017-0883-9
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author2	Ma, Xiaochi Ma, Zheng Wang, Jiahuan Yao, Nailang Gu, Quan Wang, Ci Gao, Zaifeng
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up_date	2024-07-04T00:55:42.396Z
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(2) Does its BM (e.g., from the feet) retain detailed local information? and (3) Does the BM convey emotional information? We obtained positive results in response to all three questions. 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Using a Kinect sensor to acquire biological motion: Toolbox and evaluation

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