期刊论文详细信息
Journal of NeuroEngineering and Rehabilitation
Naturalistic visualization of reaching movements using head-mounted displays improves movement quality compared to conventional computer screens and proves high usability
Research
René M. Müri1  Nicolas Wenk2  Joaquin Penalver-Andres2  Karin A. Buetler2  Laura Marchal-Crespo3 
[1] Gerontechnology and Rehabilitation, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland;Department of Neurology, University Neurorehabilitation, University Hospital Bern (Inselspital), University of Bern, Bern, Switzerland;Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010, Bern, Switzerland;Motor Learning and Neurorehabilitation Laboratory, ARTORG Center for Biomedical Engineering Research, University of Bern, Freiburgstrasse 3, 3010, Bern, Switzerland;Department of Cognitive Robotics, Delft University of Technology, Mekelweg 2, 2628 CD, Delft, The Netherlands;
关键词: Virtual reality;    Augmented reality;    Head-mounted display;    Neurorehabilitation;    Movement quality;    Cognitive load;    Motivation;    Usability;    Stroke;   
DOI  :  10.1186/s12984-022-01101-8
 received in 2022-06-12, accepted in 2022-10-25,  发布年份 2022
来源: Springer
PDF
【 摘 要 】

BackgroundThe relearning of movements after brain injury can be optimized by providing intensive, meaningful, and motivating training using virtual reality (VR). However, most current solutions use two-dimensional (2D) screens, where patients interact via symbolic representations of their limbs (e.g., a cursor). These 2D screens lack depth cues, potentially deteriorating movement quality and increasing cognitive load. Head-mounted displays (HMDs) have great potential to provide naturalistic movement visualization by incorporating improved depth cues, reduce visuospatial transformations by rendering movements in the space where they are performed, and preserve eye-hand coordination by showing an avatar—with immersive VR (IVR)—or the user’s real body—with augmented reality (AR). However, elderly populations might not find these novel technologies usable, hampering potential motor and cognitive benefits.MethodsWe compared movement quality, cognitive load, motivation, and system usability in twenty elderly participants (>59 years old) while performing a dual motor-cognitive task with different visualization technologies: IVR HMD, AR HMD, and a 2D screen. We evaluated participants’ self-reported cognitive load, motivation, and usability using questionnaires. We also conducted a pilot study with five brain-injured patients comparing the visualization technologies while using an assistive device.ResultsElderly participants performed straighter, shorter duration, and smoother movements when the task was visualized with the HMDs than screen. The IVR HMD led to shorter duration movements than AR. Movement onsets were shorter with IVR than AR, and shorter for both HMDs than the screen, potentially indicating facilitated reaction times due to reduced cognitive load. No differences were found in the questionnaires regarding cognitive load, motivation, or usability between technologies in elderly participants. Both HMDs proved high usability in our small sample of patients.ConclusionsHMDs are a promising technology to be incorporated into neurorehabilitation, as their more naturalistic movement visualization improves movement quality compared to conventional screens. HMDs demonstrate high usability, without decreasing participants’ motivation, and might potentially lower cognitive load. Our preliminary clinical results suggest that brain-injured patients may especially benefit from more immersive technologies. However, larger patient samples are needed to draw stronger conclusions.**

【 授权许可】

CC BY   
© The Author(s) 2022

【 预 览 】
附件列表
Files Size Format View
RO202305066609713ZK.pdf 1713KB PDF download
MediaObjects/12888_2022_4476_MOESM1_ESM.pdf 116KB PDF download
MediaObjects/12902_2022_1259_MOESM1_ESM.docx 808KB Other download
Fig. 2 2811KB Image download
Fig. 2 164KB Image download
MediaObjects/12888_2022_4464_MOESM2_ESM.pdf 1104KB PDF download
Fig. 2 856KB Image download
40708_2022_178_Article_IEq39.gif 1KB Image download
Fig. 3 163KB Image download
MediaObjects/42004_2022_778_MOESM2_ESM.pdf 45657KB PDF download
Fig. 5 2280KB Image download
Fig. 2 82KB Image download
Fig. 4 4008KB Image download
Fig. 5 2746KB Image download
Fig.5 716KB Image download
Fig. 1 656KB Image download
Fig. 1 345KB Image download
Fig. 2 94KB Image download
MediaObjects/12993_2022_198_MOESM2_ESM.pdf 1428KB PDF download
40708_2022_178_Article_IEq64.gif 1KB Image download
MediaObjects/40249_2022_1050_MOESM1_ESM.docx 393KB Other download
Fig. 1 139KB Image download
Fig. 1 3883KB Image download
Fig. 1 59KB Image download
Fig. 1 403KB Image download
MediaObjects/13068_2022_2241_MOESM3_ESM.gb 35KB Other download
MediaObjects/12974_2022_2652_MOESM3_ESM.pdf 4626KB PDF download
MediaObjects/40249_2022_1050_MOESM3_ESM.docx 165KB Other download
Fig. 5 138KB Image download
Fig. 2 778KB Image download
MediaObjects/40249_2022_1050_MOESM4_ESM.docx 21KB Other download
Fig. 2 547KB Image download
Fig. 5 326KB Image download
Fig. 6 2361KB Image download
Fig. 1 1050KB Image download
Fig. 3 156KB Image download
13731_2022_257_Article_IEq2.gif 1KB Image download
Fig. 3 643KB Image download
13731_2022_257_Article_IEq4.gif 1KB Image download
Fig. 1 192KB Image download
Fig. 2 462KB Image download
13731_2022_257_Article_IEq7.gif 1KB Image download
MediaObjects/12888_2022_4395_MOESM1_ESM.xlsx 128KB Other download
13731_2022_257_Article_IEq9.gif 1KB Image download
13731_2022_257_Article_IEq12.gif 1KB Image download
Fig. 3 1712KB Image download
Fig. 2 330KB Image download
MediaObjects/12902_2022_1254_MOESM1_ESM.xlsx 11KB Other download
Fig. 2 57KB Image download
Fig. 3 448KB Image download
Fig. 3 330KB Image download
Fig. 3 107KB Image download
【 图 表 】

Fig. 3

Fig. 3

Fig. 3

Fig. 2

Fig. 2

Fig. 3

13731_2022_257_Article_IEq12.gif

13731_2022_257_Article_IEq9.gif

13731_2022_257_Article_IEq7.gif

Fig. 2

Fig. 1

13731_2022_257_Article_IEq4.gif

Fig. 3

13731_2022_257_Article_IEq2.gif

Fig. 3

Fig. 1

Fig. 6

Fig. 5

Fig. 2

Fig. 2

Fig. 5

Fig. 1

Fig. 1

Fig. 1

Fig. 1

40708_2022_178_Article_IEq64.gif

Fig. 2

Fig. 1

Fig. 1

Fig.5

Fig. 5

Fig. 4

Fig. 2

Fig. 5

Fig. 3

40708_2022_178_Article_IEq39.gif

Fig. 2

Fig. 2

Fig. 2

【 参考文献 】
  • [1]
  • [2]
  • [3]
  • [4]
  • [5]
  • [6]
  • [7]
  • [8]
  • [9]
  • [10]
  • [11]
  • [12]
  • [13]
  • [14]
  • [15]
  • [16]
  • [17]
  • [18]
  • [19]
  • [20]
  • [21]
  • [22]
  • [23]
  • [24]
  • [25]
  • [26]
  • [27]
  • [28]
  • [29]
  • [30]
  • [31]
  • [32]
  • [33]
  • [34]
  • [35]
  • [36]
  • [37]
  • [38]
  • [39]
  • [40]
  • [41]
  • [42]
  • [43]
  • [44]
  • [45]
  • [46]
  • [47]
  • [48]
  • [49]
  • [50]
  • [51]
  • [52]
  • [53]
  • [54]
  • [55]
  • [56]
  • [57]
  • [58]
  • [59]
  • [60]
  文献评价指标  
  下载次数:3次 浏览次数:3次