Name: measuring the kinematics of daily living movements with motion capture systems in virtual reality
Uploaded: 2018-04-05T14:00:00
Description: Watch this Scientific Journal Video about Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality at JoVE.com

캔사스와 앨 러 배 마 동등 하 게 기여합니다. 이 연구는 기본 과학 연구 프로그램을 통해 국가 연구 재단의 한국 (NRF) 과학의 부, 정보 통신 및 미래 계획 (NRF-2016R1D1A1B03931389)에 의해 자금에 의해 지원 되었다.

여기에 설명 된 모든 실험 절차 (HYI-15-029-2) 헬싱키의 선언에 따라 제도적 검토 보드의 한 양 대학에 의해 승인 되었다. 6 건강 한 컨트롤 (4 남성 및 2 명의 여성)와 6 MCI 환자 (3 남성 3 여성)는 3 차 의료 센터, 한 양 대학 병원에서에서 채용 했다.
1. 참가자 모집
<ol><li>(즉, 장애인된 IADL 기능) MCI 환자와 건강 한 컨트롤 (즉, 정상적인 IADL 기능) 70-80 세를 모집 합니다.<...

<ol>
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C., Anderson, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Virtual, augmented reality and serious games for healthcare 1. 68, (2014).</li><li>Allain, P., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Detecting+everyday+action+deficits+in+Alzheimer's+disease+using+a+nonimmersive+virtual+reality+kitchen.">Detecting everyday action deficits in Alzheimer's disease using a nonimmersive virtual reality kitchen.</a> J. Int. Neuropsychol. Soc. 20 (5), 468-477 (2014).</li><li>Klinger, E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=AGATHE:+A+tool+for+personalized+rehabilitation+of+cognitive+functions+based+on+simulated+activities+of+daily+living.">AGATHE: A tool for personalized rehabilitation of cognitive functions based on simulated activities of daily living.</a> IRBM. 34 (2), 113-118 (2013).</li><li>White, D., Burdick, K., Fulk, G., Searleman, J., Carroll, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+virtual+reality+application+for+stroke+patient+rehabilitation.">A virtual reality application for stroke patient rehabilitation.</a> ICMA. 2, 1081-1086 (2005).</li><li>Dimbwadyo-Terrer, I., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Activities+of+daily+living+assessment+in+spinal+cord+injury+using+the+virtual+reality+system+Toyra:+functional+and+kinematic+correlations.">Activities of daily living assessment in spinal cord injury using the virtual reality system Toyra: functional and kinematic correlations.</a> Virtual Real. 20 (1), 17-26 (2016).</li><li>Preische, O., Heymann, P., Elbing, U., Laske, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Diagnostic+value+of+a+tablet-based+drawing+task+for+discrimination+of+patients+in+the+early+course+of+Alzheimer's+disease+from+healthy+individuals.">Diagnostic value of a tablet-based drawing task for discrimination of patients in the early course of Alzheimer's disease from healthy individuals.</a> J. Alzheimers. Dis. 55 (4), 1463-1469 (2017).</li><li>Seo, K., Kim, J. K., Oh, D. H., Ryu, H., Choi, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Virtual+daily+living+test+to+screen+for+mild+cognitive+impairment+using+kinematic+movement+analysis.">Virtual daily living test to screen for mild cognitive impairment using kinematic movement analysis.</a> PLOS ONE. 12 (7), e0181883 (2017).</li><li>Albert, M. S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+diagnosis+of+mild+cognitive+impairment+due+to+Alzheimer's+disease:+Recommendations+from+the+National+Institute+on+Aging-Alzheimer's+Association+workgroups+on+diagnostic+guidelines+for+Alzheimer's+disease.">The diagnosis of mild cognitive impairment due to Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease.</a> Alzheimers. Dement. 7 (3), 270-279 (2011).</li><li>. Motive Quick Start Guide Available from: <a target="_blank" href="https://optitrack.com/public/documents/motive-quick-start-guide-v1.10.0.pdf">https://optitrack.com/public/documents/motive-quick-start-guide-v1.10.0.pdf</a> (2017)</li><li>Kennedy, R. S., Lane, N. E., Berbaum, K. S., Lilienthal, M. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Simulator+sickness+questionnaire:+An+enhanced+method+for+quantifying+simulator+sickness.">Simulator sickness questionnaire: An enhanced method for quantifying simulator sickness.</a> Int. J. Aviat. Psychol. 3 (3), 203-220 (1993).</li><li>Singh, N. B., Baumann, C. R., Taylor, W. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Can+Gait+Signatures+Provide+Quantitative+Measures+for+Aiding+Clinical+Decision-Making?+A+Systematic+Meta-Analysis+of+Gait+Variability+Behavior+in+Patients+with+Parkinson's+Disease.">Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson's Disease.</a> Front. Hum. Neurosci. 10, 319 (2016).</li><li>Hernandez, F., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Six+degree-of-freedom+measurements+of+human+mild+traumatic+brain+injury.">Six degree-of-freedom measurements of human mild traumatic brain injury.</a> Ann. Biomed. Eng. 43 (8), 1918-1934 (2015).</li><li>Gamito, P., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Cognitive+training+on+stroke+patients+via+virtual+reality-based+serious+games.">Cognitive training on stroke patients via virtual reality-based serious games.</a> Disabil. Rehabil. 39 (4), 385-388 (2017).</li></ol>

우리 일상 생활 움직임 모션 캡처 시스템 몰입 형 VR 환경에서의 운동학 적인 측정 프로토콜 상세. 첫째, 실험 설정, 설정 하는 방법에 가이드 준비, 하 고 몰입 형 가상 현실 환경에 익숙해지도록 참가자. 둘째, 우리는 VR에서 두 표준화 IADL 작업을 개발. 셋째, 단계 3과 단계 5 프로토콜 섹션에서 VR 질병을 최소화 하기 위해 가장 중요 한 단계입니다. 가상 환경 (3 단계)에서 모션 캡처 시스템을 설정할...

매일 (IADL)와 같은 금융 거래 처리, 대 중 교통을 사용 하 여, 요리, 의료 마커 때문에 그들은 여러 신경 심리적 기능1필요 생활의 경 음악 활동. 장애인된 IADL 기능 따라서 신경 질병, 가벼운 인지 장애 (MCI) 등 치 매2에 선구자 이라고 여겨진다. 골드의 종합적인 검토 IADL 작업3 의 표시 인 더 까다로운 작업, 재정 관리 등 대 중 교통을 사용 하 여 MCI의 치 매 초기 예측 했다.
날짜 하려면, IADL의 가장 일반적으로 사용 되 평가 각자 보고 질문 지, 정보 기반 설문 조사 및 성능 기반 평가4입니다. IADL의 평가 설문지 기반 비용 효율적이 고 사용 하기 쉬운, 하지만 주관적인 편견 하는 경향이 있다. 예를 들어, 자기 보고, 환자는 경향이에 이상-또는 아래-estimate 자신의 IADL 기능5. 마찬가지로, 정보는 관찰자의 misperceptions 또는 지식 격차4IADL 기능을 잘못 판단. 많은 작업은 일반적인 임상 설정6에 대 한 적절 한 따라서, IADL 특정 작업을 수행 하는 환자에 게 성능 기반 평가 선호 되었습니다.
최근, 가상 현실 (VR) 연구가이 기술 의학 및 의료 평가7재활 훈련에서 모든 것을 포함 하는 건강 관리에 중요 한 응용 프로그램에 있을 수 있었다는 것으로 나타났습니다. 모든 참가자는 동일한 조건 VR, 현실 세계를 모방을 테스트할 수 있습니다. 예를 들어, 얼 레인 외. 8 가상 커피 만들기 작업을 개발 하 고 인지 장애를 가진 환자는 작업 제대로 수행 했다. Klinger 외. 9 다른 VR 환경 메일링 및 작업 쇼핑에 대 한 개발과 신경 심리적 시험 결과 및 VR에서 작업 완료 시간 사이의 의미 있는 관계를 발견. 마우스와 키보드8,9등 기존의 입력된 장치를 사용 하 여 때 IADL 평가의 이전 VR 연구는 주로 반응 시간이 나 정확도 등 간단한 성능 측정에 집중 됩니다. IADL에 대 한 자세한 성능 데이터 따라서 MCI4환자에 대 한 화면을 효율적으로 필요 합니다.
실시간 모션 캡처 데이터의 운동학 적 분석은 양적 문서 IADL 작업과 관련 된 자세한 성능 데이터를 강력한 접근 이다. 예를 들어 화이트 외. 10 일상 생활 작업 동안 참가자의 관절 각도 데이터를 캡처하고 캡처한 데이터 양적 물리 치료의 효과 평가 하기 위해 사용 하는 가상 부엌 개발. Dimbwadyo-Terrer 외. 11 일상 생활의 기본 작업을 수행 하는 경우 상 지 성능을 평가 하는 몰입 형 VR 환경 개발과 운동학 데이터 어퍼 사지의 기능 비늘으로 매우 상관 VR 환경에서 기록 했다. 모션 캡처 시스템 이러한 운동학 분석 더 신속 하 게 환자의 인지 장애12를 평가 하는 기회를 제공할 수 있습니다. MCI 환자에 대 한 심사에 상세한 운동학 적 데이터의 포함은 크게 건강 한 컨트롤13에 비해 환자의 분류를 개선.
여기, 우리 일상 생활 운동 몰입 형 VR 환경에서 모션 캡처 시스템의 기구학을 평가 하기 위해 프로토콜을 설명 합니다. 프로토콜 구성 두 복잡 한 IADL 작업: "작업 1: 돈을 인출" (금융 거래 처리) 및 "작업 2: 버스를 타고" (대 중 교통을 사용 하 여). 작업은 수행 하는 동안 모션 캡처 시스템 위치와 지배적인 손 및 머리의 방향을 추적. 작업 1을 완료, 지배적인 손 궤적, 이동 거리, 및 완료 시간 수집 했다. 작업 2에서 머리 궤적, 이동 거리, 및 완료 시간 수집 했다. 이 문서에서는 대표적인 결과 섹션 내용을 MCI 환자의 예비 시험 (즉, IADL 기능은 장애인)에 비해 건강 한 컨트롤 (즉, IADL 기능은 그대로).

<table border="0" cellpadding="0" cellspacing="0" width="961">
	<tbody>
		<tr height="357">
			<td height="357" style="height:357px;width:216px;">Computer</td>
			<td style="width:161px;">N/A</td>
			<td style="width:127px;">N/A</td>
			<td style="width:457px;">Computer requirements:&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; - Single socket H3 (LGA 1150) supports 
			- Intel&#174; Xeon&#174; E3-1200 v3, 4th gen. Core i7/i5/i3 processors 
			- Intel&#174; C226 Express PCH 
			- Up to 32GB DDR3 ECC/non-ECC 1600MHz UDIMM in 4 sockets 
			- Dual Gigabit Ethernet LAN ports 
			- 8x SATA3 (6Gbps) 
			- 2x PCI-E 3.0 x16, 3x PCI-E 2.0 x1, and 2x PCI 5V 32-bit slots 
			- 6x USB 3.0 (2 rear + 4 via headers) 
			- 10x USB 2.0 (4 rear + 6 via headers) 
			- HD Audio 7.1 channel connector by Realtek ALC1150 
			- 1x DOM power connector and 1x SPDIF Out Header 
			- 800W High Efficiency Power Supply 
			- Intel Xeon E3-1230v3 
			- DDR3 PC12800 8GB ECC 
			- WD 1TB BLUE WD 10EZEX&#160; 3.5&#34; 
			- NVIDIA QUADRO K5000 &#38; SYNC</td>
		</tr>
		<tr height="84">
			<td height="84" style="height:84px;width:216px;">Stereoscopic 3D Projector</td>
			<td style="width:161px;">Barco</td>
			<td style="width:127px;">F35 AS3D WUXGA&#160;</td>
			<td style="width:457px;">Resolution:&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; - WQXGA (2,560 x 1,600)&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; - Panorama (2,560 x 1,080)&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; - WUXGA (1,920 x 1,200), 1080p (1,920 x 1,080)&#160;</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Stereoscopic Glasses</td>
			<td style="width:161px;">Volfoni&#160;</td>
			<td style="width:127px;">Edge 1.2</td>
			<td>For further information, visit http://volfoni.com/en/edge-1-2/</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Motion Capture Systems</td>
			<td style="width:161px;">NaturalPoint OptiTrack</td>
			<td style="width:127px;">17W</td>
			<td style="width:457px;">For further information, visit http://optitrack.com/products/prime-17w/</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">OptiTrack (Motion capture software)</td>
			<td style="width:161px;">NaturalPoint OptiTrack</td>
			<td style="width:127px;">Motive 2.0</td>
			<td style="width:457px;">For further information, visit https://optitrack.com/downloads/motive.html</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">MiddleVR (Middleware software)</td>
			<td style="width:161px;">MiddleVR</td>
			<td style="width:127px;">MiddleVR For Unity</td>
			<td style="width:457px;">For further information, visit http://www.middlevr.com/middlevr-for-unity/</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">VRDaemon (Middleware software)</td>
			<td style="width:161px;">MiddleVR</td>
			<td style="width:127px;">MiddleVR For Unity</td>
			<td style="width:457px;">For further information, visit http://www.middlevr.com/middlevr-for-unity/</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Unity3D (Game engine)</td>
			<td style="width:161px;">Unity Technologies</td>
			<td style="width:127px;">Personal</td>
			<td>For further information, visit https://unity3d.com/unity</td>
		</tr>
	</tbody>
</table>

measuring the kinematics of daily living movements with motion capture systems in virtual reality

일상 생활 (IADL)의 기 악 활동을 완료 하는 무 능력은 다양 한 신경 심리적 질병에 선구자. IADL의 평가 설문지 기반 사용 하기 쉽습니다 하지만 주관적인 편견 하는 경향이 있습니다. 여기, 우리는 2 개의 복잡 한 IADL 작업을 평가 하기 위해 소설 가상 현실 (VR) 테스트 설명: 금융 거래를 처리 하 고 대 중 교통을 사용 하 여. 참가자 VR 환경에서 작업을 수행 하는 동안 모션 위치와 방향을 지배적인 손 및 머리는 3 차원 데카르트 좌표계에서의 시스템 추적을 캡처합니다. 운동학 적 원시 데이터 수집 되 고 ' 운동학 성능 측정,' 즉, 변환 모션 궤도, 이동 거리, 및 완료 시간. 모션 궤도 공간에서 특정 신체 일부 (예:, 지배적인 손 또는 머리)의 경로입니다. 궤적의 총 거리를 참조 거리를 이동 그리고 완료 시간 IADL 작업을 완료 하는 데 걸리는 시간. 운동학이 측정 건강 한 컨트롤에서 인지 장애 환자 차별 수 있습니다. 이 동 측정 프로토콜의 개발 초기 IADL 관련 인지 장애의 감지 수 있습니다.

CSV 파일에서 "작업 1: 돈을 인출" 지배적인 손 궤적, 이동 거리, 및 완료 시간을 계산 하는 통계 소프트웨어 R를 사용 하 여 분석 했다. 지배적인 손 움직임의 궤적 시각 이다 (그림 6). 지배적인 손의 이동 거리는 작업 1을 수행 하는 동안 순차적인 손 위치 사이 총 거리를 합산 하 여 계산 됩니다. 위치 사이 거리 유클리드 거리가입니다. 완료 시간 (즉...

Watch this Scientific Journal Video about Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality at JoVE.com

Measuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Reality

우리는 모션 캡처 시스템 일상 생활 (IADL)의 기 악 활동을 평가 하기 위해 가상 현실 테스트를 설계. 우리는 다양 한 움직임, 궤적, IADL 기능 평가를 완료 시간과 이동 거리를 포함 하 여 참가자의 해석에 대 한 자세한 운동학 분석을 제안 합니다.

가상 현실에서의 일상 생활 움직임 모션 캡처 시스템의 기구학을 측정

The inability to complete instrumental activities of daily living (IADL) is a precursor to various neuropsychological diseases. Questionnaire-based ...

The overall goal of this experimental procedure is to assess kinematic performance measures of daily living movements with motion capture systems in an immersive virtual environment. This method can help answer key questions in the medical field, such as how to diagnose dementia and mild cognitive impairment early through the ability to complete daily tasks. The main advantage of this technique is that it can quantitatively document detailed kinematic data, such as trajectory, moving distance, and timed completion while performing daily tasks in real time.The implication of this technique extends towards early diagnosis of dementia in EMSCI because the ability to complete daily tasks such as using public transportation are closely intertwined with neuropsychological functions. We first had the idea for this method when we realized the potential of virtual reality as an assessment environment, where the participants can be tested under the same conditions which mimic the real world experiences. Generally, individuals new to this method will struggle, because conducting experiments in virtual reality and analyzing kinematic data are hard to perform.Begin by setting up the hardware, including four computers, four stereoscopic three-dimensional projectors, and eight motion tracking cameras to track the position and orientation of the dominant hand and head during the two instrumental activities of daily living, IADL tasks. Ensure that all computers are equipped with the required software. For middleVR, check the website to obtain the latest versions of the libraries for the input devices, stereoscopy, clustering and interactions.Next, create a Windows 10 HomeGroup to connect the four computers to a home network. On the primary computer, create a folder and share it with other HomeGroup computers. Next, mount eight motion tracking cameras, in a virtual environment to fully cover the capture volume.Fix cameras securely so that they remain stationary during capture. Ensure objects in a virtual environment will be visible by at least two cameras at all times. Install motion capture software on the primary computer using the installation manual.Connect the primary computer with the motion capture systems with category six Ethernet cables. Next, prepare the virtual environment by moving all reflective objects. Ensure that all computers, stereoscopic 3D projectors, and motion capture systems are turned on.Once four computers are running, launch the VR software by double clicking on VRDaemon.exe. Finally, on the primary computer, initiate the motion capture software. Click the button near the top menu labeled open existing project, load the camera calibration file.Begin by providing the participant with stereoscopic glasses, weighing around 50 grams, and ensure that they are placed comfortably over the eyes and ears. Next, attach reflective markers, weighing less than one gram, to the participant's dominant hand and head. Be careful to attach reflective markers tightly.Inform the participant that they can freely move or rotate in the virtual environment using head movement, and can click virtual objects with the dominant hand. Let them know that a virtual hand will appear in the virtual environment to mimic the position of their index finger. Next, ask the participant to freely move in the virtual environment for five minutes to familiarize themselves with the VR environment.Then, ask them to click virtual buttons for five minutes in order to become familiar with how to interact with virtual objects with the dominant hand. Lastly, check whether the participant is immune to VR sickness with a simulator sickness questionnaire. First, explain to the participant the details of the task, and provide the eight action steps to complete the task in the virtual environment.Inform them the steps are one, insert the card into the ATM two, select the withdraw menu, three, select the amount to withdraw, four, select the bill type, five, enter the PIN or personal identification number, six, select the receipt option, seven, remove the card, and eight, take the money from the ATM. On the primary computer, initiate the middleware software. On the simulations tab, select a simulation file for task one, and a configuration file.Then, press the run button. Observe the participant completing task one. Once the first task is finished, check the saved cinematic data and csv files for further analysis from a shared folder.Provide the participant with a five minute break. Then start the second task, take a bus, by explaining the details. On the primary computer, initiate the middleware software.On the simulations tab, select a simulation file for task two and a configuration file. Press the run button to start task two. Instruct the participant to wait in the bus stop.Click the space bar key on the keyboard to make buses arrive at the bus stop. Finally, once the task is finished, check the saved kinematic data and csv files for further analysis from a shared folder. Help the participant remove the stereoscopic glasses and detach the reflective markers from the dominant hand and head.Here, the trajectory of the hand is visualized from task one, withdraw money, in healthy controls, and patients with mild cognitive impairment. Further, the trajectory of the head movement is visualized from task two, take a bus, in healthy controls and patients with mild cognitive impairment. Once mastered, this technique can be done in ten minutes, if it is performed properly, while attempting this procedure, it's important to remember to fix motion tracking camera securely to fully cover the capture volume, and to familiarize the participant sufficiently with the virtual environment to prevent VR sickness.Following this procedure, other non-invasive neuroimaging methods like electroencephalogram and functional near-infrared spectroscopy can be performed in order to answer additional questions like the relationship between kinematic performance measures and its underlying neurophysiological manifestation. After its development, this technique paved the way for researchers in the field of medicine to explore the kinematics of daily living movements in patients with neuropsychological disease. After watching this video, you should have a good understanding of how to set up a virtual environment, familiarize the participant, conduct tasks in VR, and measure the kinematics of daily tasks with motion capture system in the virtual environment.Don't forget that performing tasks in virtual reality can cause VR sickness and precautions such as sufficient familiarization with the virtual environment, and check whether the participant is immune to VR sickness should always be taken while performing this procedure.

Research

JoVE Journal

Behavior

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Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters

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