Kinect V2 for Upper Limb Rehabilitation Applications - A Preliminary Analysis on Performance Evaluation

Lupinacci, Giorgia; Gatti, Gianluca; Angilica, Agostino; Muzzupappa, Maurizio

doi:10.5220/0005659201310138

Cited by 2 publications

(4 citation statements)

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“…To reduce elbow occlusion, some authors suggest installing the Kinect higher [18], in front of the participant [32,33] and to perform functional movements in sitting [18,40], but the present study shows that this is not enough to achieve sufficient precision for clinical interpretation of some variables. Other authors suggest installing the Kinect on the ipsilateral side of the movement with an angle of 30 to 45° [41], and moving the Kinect when assessing the other side, but this make the experiment more complicated and therefore reduces the fast and ease of use characteristic of the Kinect.…”

Section: The Problem Of Elbow In a Seated Reaching Taskmentioning

confidence: 57%

“…The Kinect was connected to a PC running the "MaCoKi" software (NaturalPad, Montpellier, France) developed from the Kinect SDK (v2.0_1409, Microsoft, USA) to record the position time-series of the hands and trunk. As recommended in previous studies, we placed the Kinect in front of the participant, at a distance of 1.50 m, a height of 1.40 m and with no direct sunlight to minimise errors [18,[31][32][33] (Fig. 1).…”

Section: Kinect Sensormentioning

confidence: 99%

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Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Faity¹,

Mottet²,

Froger³

2022

Preprint

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Background: Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the assessment of 17 kinematic variables commonly used in the analysis of upper limb reaching in stroke. Methods: 26 healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce a behaviour similar to that of a person with a stroke. 3D upper limb and trunk motion were simultaneously recorded with the Kinect v2 (Microsoft, USA) and with the VICON (OxfordMetrics, UK), the latter being the reference system. For each kinematic outcome, the validity of the Kinect was assessed with ICC, linear regression and Bland & Altman plots. Results: The Kinect assesses trunk compensations, hand range of motion, movement time and mean velocity with a moderate to excellent reliability. In contrast, elbow and shoulder range of motion, time to peak velocity and path length ratio have a poor to moderate reliability, indicating that these variables should be interpreted with caution. Finally, instantaneous hand and elbow tracking are not precise enough to reliably assess Cartesian and angular kinematics over time, rendering variables such as the number of velocity peaks and the peak hand velocity unusable. Conclusions: Thanks to its ease of use and markerless properties, the Kinect can be used in clinical routine for semi-automated quantitative diagnostics guiding individualised rehabilitation of the upper limb. However, engineers and therapists must bear in mind the limitations of the Kinect for the instantaneous tracking of the hand and elbow.

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Section: The Problem Of Elbow In a Seated Reaching Taskmentioning

confidence: 57%

Section: Kinect Sensormentioning

confidence: 99%

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Faity¹,

Mottet²,

Froger³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…To reduce elbow occlusion, some authors suggest installing the Kinect higher [ 20 ], in front of the participant [ 35 , 36 ] and to perform functional movements in sitting [ 20 , 43 ], but the present study shows that this is not enough to achieve sufficient precision for clinical interpretation of some variables. Other authors suggest installing the Kinect on the ipsilateral side of the movement with an angle of 30 to 45° [ 44 ], and moving the Kinect when assessing the other side, but this makes the experiment more complicated and therefore reduces the speed and ease of use characteristic of the Kinect.…”

Section: Discussionmentioning

confidence: 90%

“…The Kinect was connected to a PC running the “MaCoKi” software (NaturalPad, Montpellier, France) developed from the Kinect SDK (v2.0_1409, Microsoft, Redmond, WA, USA) to record the position time-series of the hands and trunk. As recommended in previous studies, we placed the Kinect in front of the participant, at a distance of 1.50 m, a height of 1.40 m and with no direct sunlight to minimise errors [ 20 , 34 , 35 , 36 ] ( Figure 1 ).…”

Section: Methodsmentioning

confidence: 99%

Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching

Faity¹,

Mottet²,

Froger

2022

Sensors

View full text Add to dashboard Cite

Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in individuals with stroke, but it remains little used in clinical routine due to its low feasibility. The aim of this study is to assess the validity and reliability of the Kinect v2 for the analysis of upper limb reaching kinematics. Twenty-six healthy participants performed seated hand-reaching tasks while holding a dumbbell to induce behaviour similar to that of stroke survivors. With the Kinect v2 and with the VICON, 3D upper limb and trunk motions were simultaneously recorded. The Kinect assesses trunk compensations, hand range of motion, movement time and mean velocity with a moderate to excellent reliability. In contrast, elbow and shoulder range of motion, time to peak velocity and path length ratio have a poor to moderate reliability. Finally, instantaneous hand and elbow tracking are not precise enough to reliably assess the number of velocity peaks and the peak hand velocity. Thanks to its ease of use and markerless properties, the Kinect can be used in clinical routine for semi-automated quantitative diagnostics guiding individualised rehabilitation of the upper limb. However, engineers and therapists must bear in mind the tracking limitations of the Kinect.

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Kinect V2 for Upper Limb Rehabilitation Applications - A Preliminary Analysis on Performance Evaluation

Cited by 2 publications

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Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching

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