Kinect Camera Based Gait Data Recording and Analysis for Assistive Robotics-An Alternative to Goniometer Based Measurement Technique

Roy, Ganesh; Bhuiya, Aritra; Mukherjee, Aditya; Bhaumik, Subhasis

doi:10.1016/j.procs.2018.07.121

Cited by 20 publications

(8 citation statements)

References 17 publications

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“…This was supported by Huber et al, [24] which Kinect had poor results for the measurement of shoulder angle. Conversely, research conducted by Roy [26] highlighted that Kinect helps to derived certain body joint angles specifically the angle data of five prominent lower limb section was comparable to Goniometer. Napoli et al, [28] also highlighted that Kinect was adequate for tracking joint centre displacements but it is less accuracy of tracking joint angle.…”

Section: Discussionmentioning

confidence: 99%

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The Validity of the Microsoft Kinect for Healthy Participants: A Short Review

2021

BJoST

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The Microsoft Kinect is a motion sensor input tool that swiftly infected in physical therapy training. Kinect have several advantages over traditional solutions which currently they are in a very affordable situation. Moreover, their accuracy for sensitive human application is still under analysis. This short review provides a summary of the validity of the Kinect sensor to comprehend their usefulness as a measurement tool for practical analysis applications. The results are challenging to compare because they depend to a huge level on the type of measurement element, the variety of human motion, and the distance of the sensor. Regardless of this, they think that the Kinect appropriately identifies motion, however, does not recognise joint rotation and different posture.

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Section: Discussionmentioning

confidence: 99%

“…Roy et al, [26] pointed out the joint coordinates of human lower extremity identified by Kinect and Goniometer used as a reference. Left knee angle, right knee angle, left hip flexion, and right hip flexion, the lumbar extension was chosen for the gait analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

The Validity of the Microsoft Kinect for Healthy Participants: A Short Review

2021

BJoST

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“…Regarding contactless sensors, they range from ultrasonic [6] sensors to light-based approaches using infrared light (IR) [7] or Laser Range Finders (LRF) modules [8]. A common approach and of particular relevance in the context of this work is the use of depth cameras [2], [9], [10], devices that use structured light (by means of aligned IR emitter matrix and matching sensor) to measure distance.…”

Section: Markerless Gait Analysismentioning

confidence: 99%

Markerless Gait Analysis Vision System for Real-time Gait Monitoring

André

Lopes

Palermo

et al. 2020

2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

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On this paper a vision-based contact-and markerless method for gait evaluation is proposed, and validated in different experimental setups against commercial motion capture systems (Vicon) and inertial gait analysis tools (GaitShoes). While the development goal is its integration on the ASBGo Smart Walker platform, only an inexpensive depth camera is required. It is shown to have reasonable results when computing gait metrics in real time, in different experimental setups, from different walker types, vision hardware and walking scenarios. Performance is evaluated through RMSD values for several gait metrics. Results illustrate that the proposed approach can be a valuable non-invasive, contactless and low cost alternative to gait analysis systems used in clinical rehabilitation environments.

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“…More recently, the integration of IMUs and the Kinect can potentially address the limitations of inertial sensor drift [ 39 ], noncalibration [ 40 ] and the Kinect’s low sampling frequencies [ 41 ]. The sensor fusion provides better visualisation, greater precision and more accurate joint angle measurements [ 42 , 43 , 44 ].…”

Section: Introductionmentioning

confidence: 99%

The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

Beshara

Chen

Read

et al. 2020

Sensors

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Background: Objective assessment of shoulder joint active range of motion (AROM) is critical to monitor patient progress after conservative or surgical intervention. Advancements in miniature devices have led researchers to validate inertial sensors to capture human movement. This study investigated the construct validity as well as intra- and inter-rater reliability of active shoulder mobility measurements using a coupled system of inertial sensors and the Microsoft Kinect (HumanTrak). Methods: 50 healthy participants with no history of shoulder pathology were tested bilaterally for fixed and free ROM: (1) shoulder flexion, and (2) abduction using HumanTrak and goniometry. The repeat testing of the standardised protocol was completed after seven days by two physiotherapists. Results: All HumanTrak shoulder movements demonstrated adequate reliability (intra-class correlation (ICC) ≥ 0.70). HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.93 and 0.85) than goniometry (ICCs: 0.75 and 0.53) for measuring free shoulder flexion and abduction AROM, respectively. Similarly, HumanTrak demonstrated higher intra-rater reliability (ICCs: 0.81 and 0.94) than goniometry (ICCs: 0.70 and 0.93) for fixed flexion and abduction AROM, respectively. Construct validity between HumanTrak and goniometry was adequate except for free abduction. The differences between raters were predominately acceptable and below ±10°. Conclusions: These results indicated that the HumanTrak system is an objective, valid and reliable way to assess and track shoulder ROM.

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Kinect Camera Based Gait Data Recording and Analysis for Assistive Robotics-An Alternative to Goniometer Based Measurement Technique

Cited by 20 publications

References 17 publications

The Validity of the Microsoft Kinect for Healthy Participants: A Short Review

The Validity of the Microsoft Kinect for Healthy Participants: A Short Review

Markerless Gait Analysis Vision System for Real-time Gait Monitoring

The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion

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