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Table 1 Summary of the main validation studies analyzing motion capture accuracy of the Kinect (v1 and v2) and of wearable IMUs

From: Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison

Refs.

Sensor(s)

Participants

Exercises

Parameters

Applications

Performance

[49]

Kinect v1

1H

6 primary movements

Joints positions, bone lengths

At-home elderly rehabilitation

RMSE \(< 10cm\)

[50]

Kinect v1

20H

Reaching, standing balance

Joints positions

Postural control

ICC \(< 0.16\)

CV \(<11.6\%\)

[51]

Kinect v1

48H, 2 sessions

4 primary movements

Joints angles

Funct. assessment

RMSE \(<9\%\)

[52]

Kinect v1

10H + 9PD

12 primary and functional movements

Joints positions and angles, timings

PD assessment

LoA \(<10\%\)

ICC \(>0.9\)

[53]

Kinect v1

20H

Standing sway

Marker positions

Exergaming

SDev \(<30\%\)

[54]

Kinect v1

15H

Squat

Lower limb joints angles

Kinect evaluation

RMSE \(<5^\circ\)

ICC \(>0.9\)

[36]

Kinect v2

30H, 2 sessions

Standing balance

Trunk and pelvis angles

Balance and postural control

r \(>0.75\)

ICC \(>0.7\)

[42]

Kinect v2

30H, 2 sessions

Walking

Lower limbs joints angles

Gait analysis

\(0.4<\) r \(< 0.75\)

[39]

Kinect v2

20H

5 primary shoulder movements

Upper limbs joints angles

Clinic and home rehabilitation

RMSE = \(3.9^\circ\)

[43]

Kinect v2

20H

Walking

Stance and step time, step length, time, velocity

Gait analysis

LoA \(<11\%\)

ICC \(>0.9\)

[41]

Kinect v2

30H

Standing and sitting exercises

Upper body joint positions

Rehabilitation

RMSE \(<5\%\)

r \(>0.9\)

[55]

4 IMU (custom) on thighs, shanks

3H

Walking

Hip and knee joint angles

Gait analysis

RMSE \(<8.7^\circ\)

r \(>0.7\)

[6]

2 IMU (Xsens MTx) on pelvis, thigh

20H

Walking

Hip joint angle

Gait analysis

LoA \(= 1.6^\circ\)

[56]

8 IMU (Xsens MTx) on thorax, lower back, thighs, shanks, feet

9H (children)

Static postures

Hip and knee joint angles

Knee amputees and cerebral palsy

RMSE \(=1.8^\circ\)

[57]

6 IMU (not specified) on pelvis, thigh, shank

9H + 1INJ

Running and outdoor training routines

Activity classification, hip and knee joints angles

Athlete training, injury prevention

98%

[58]

3 IMU (Shimmer) on thigh, shank, foot

58REH

Primary movements

Exercise recognition

Clinic and home rehabilitation

83%

[8]

5 IMU (Riablo) on trunk, thigh, shank

22H, 2 sessions

4 knee exercises

Hip and knee joint angles

Clinic and home rehabilitation

RMSE \(=3.1^\circ\)

[59]

2 IMU (Opal) on lower back, upper arm

6H

ADL routines,

walking

Trunk and upper limb joints angles

IMU evaluation

RMSE \(<5.5^\circ\)

[60]

6 IMU (Xsens MTx) on thigh, shank, foot

1AMP

Walking

Knee angle

Gait analysis

RMSE \(<3^\circ\)

[61]

7 IMU (Opal) on trunk, upper arm, forearm, hand

8H

2 swimming styles

Upper limb joints angles

swimming analysis

RMSE \(<7^\circ\)

[62]

3 IMU (Opal) on waist, thigh, shank, 1 resistive strip

14H

Sit-to-stand, walking

Exercise timings, stride length

Clinic and home rehabilitation

r \(>0.7\)

ICC \(>0.95\)

[63]

17 IMU (Synertial) full body

20H

5m timed up and go

Full body joints

Clinic evaluation

RMSE \(<13.6^\circ\)

[64]

2 IMU (APDM)

thigh and shank

18REH

Knee ROM, walking

Knee angle

Clinic rehabilitation

–

[9]

17 IMU (Xsens MVN) full body

12H

Functional movements, work actions

Full body model

Occupational biomechanics

RMSE \(<5^\circ\)

[65]

3 IMU (I2M MT) on pelvis, trunk, upper arm

6H lab + 10H workplace

Work actions

Trunk orientation, shoulder joint angles

Occupational biomechanics

RMSE \(<12.1^\circ\)

[47]

Kinect v1, Kinect v2

20H (v1) + 20H (v2)

15 static poses

Joints positions

Posture evaluation

RMSE(v1) \(=76mm\)

RMSE(v2) \(=87mm\)

[48]

Kinect v1, Kinect v2

10H, 3 camera angles

Sitting and standing postures

Joints positions

Motion capture

RMSE \(<100mm\)

[33]

Kinect v1, Kinect v2

13H

ROM and static stretching exercises

Joints positions

Rehabilitation

RMSE \(=15mm\)(wrist)

RMSE \(<10mm\)(other)

[66]

Kinect v1 + 2IMU (InertiaCube3) on upper limb

1H

Hand-to-mouth

Upper limb position

Motion capture

–

[67]

Kinect v1 + 1 x-IMU

1H

Knee flexion/extension

Knee angle

Motion capture

RMSE \(<14.2^\circ\)

[68]

Kinect v1 Vs Kinovea (MBS) Vs Hillcrest (IMU)

2H

Walking

Hip and knee angles

Gait rehabilitation

RMSE \(=3^\circ\) (IMU)

RMSE \(=10^\circ\) (Kin.)

  1. Participants are labeled as healthy (H), Parkinsons (PD), injured (INJ), in rehabilitation (REH) and amputees (AMP). All experiments were conducted in lab unless otherwise stated. Reported performance metrics include Root Mean Square Error (RMSE), Interclass Correlation Coefficient (ICC), Coefficient of Variation (CV), Limits of Agreement (LoA), Standard Deviation (SDev) and Pearson’s correlation coefficient (r)