Accuracy of classifying the movement strategy in the functional reach test using a markerless motion capture system

Tanaka, Ryo; Ishikawa, Yuki; Yamasaki, Takahiro; Díez, Alejandro

doi:10.1080/03091902.2019.1626504

Cited by 11 publications

(12 citation statements)

References 22 publications

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“…Their findings showed that the second generation of Kinect and wearable sensors have acceptable accuracy, with average errors of 2.09°, 3.11° and 4.93° for Kinect 2.0, accelerometers and inertial measurement units, respectively. Tanaka et al [9] conducted a study aimed at assessing the accuracy of Kinect compared to a marker-based motion capture system. They concluded that, in spite of differences with marker-based systems, Kinect could be useful for accurately classifying movements.…”

Section: Related Workmentioning

confidence: 99%

A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs

Muñoz¹,

Mollineda

Casero

et al. 2019

Sensors

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Current physiotherapy services may not be effective or suitable for certain patients due to lack of motivation, poor adherence to exercises, insufficient supervision and feedback or, in the worst case, refusal to continue with the rehabilitation plan. This paper introduces a novel approach for rehabilitation of upper limbs through KineActiv, a platform based on Microsoft Kinect v2 and developed in Unity Engine. KineActiv proposes exergames to encourage patients to perform rehabilitation exercises prescribed by a specialist, controls the patient′s performance, and corrects execution errors on the fly. KineActiv comprises a web platform where the physiotherapist can review session results, monitor patient health, and adjust rehabilitation routines. We recruited 10 patients for assessing the system usability as well as the system performance. Results show that KineActiv is a usable, enjoyable and reliable system, that does not cause any negative feelings.

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Section: Related Workmentioning

confidence: 99%

A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs

Muñoz¹,

Mollineda

Casero

et al. 2019

Sensors

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“…The efficiency of these systems is thus highly dependent on camera placement relative to the subject being captured (Chakraborty et al, 2020). Accordingly, the Microsoft Kinect seems to produce comparable kinematic data [results ≤5 • in the sagittal plane are assumed by this review to be clinically negligible (McGinley et al, 2009); it is important to note that not all kinematic errors are equivalent and thus the kinematic plane should be considered when evaluating accuracy] to a marker-based system when performing tasks within the optimal capture volume such as squats (Schmitz et al, 2015;Perrott et al, 2017;Mentiplay et al, 2018), or a Functional Reach Test (Tanaka et al, 2019). Movement that is outside of this optimal capture volume leads to greater difficulties for this system.…”

Section: Single Vs Multi-camera Configurationsmentioning

confidence: 93%

“…In assessing the validity and limits of markerless motion capture, many studies have concurrently compared markerless systems to marker-based systems (Clark et al, 2013;Sandau et al, 2014;Mentiplay et al, 2015;Perrott et al, 2017;Harsted et al, 2019;Tanaka et al, 2019;Tipton et al, 2019;Wochatz et al, 2019;Drazan et al, 2021). In such studies, markerless motion capture has shown great promise.…”

Section: Strengths Agreement Between Markerless and Marker-based Systemsmentioning

confidence: 99%

“…While the most accurate markerless systems tend to have a multi-camera configuration, much literature surrounding the use of markerless motion capture for biomechanical and/or clinical assessment often only consider a single dimension via a single-camera setup [predominantly, the Microsoft Kinect sensor (Pfister et al, 2014;Xu et al, 2015;Eltoukhy et al, 2017;Guess et al, 2017;Mauntel et al, 2017Mauntel et al, , 2021do Carmo Vilas-Boas et al, 2019;Tanaka et al, 2019)]. Undoubtedly, ease of use surrounding this system relative to other similar single-camera systems (e.g., the set-up, preparation, and data acquisition of these systems) is the driving factor behind researchers trying to determine its application in the sports medicine arena; however, the single camera feature might be one of the leading obstacles for these systems matching the accuracy of marker-based systems.…”

Section: Single Vs Multi-camera Configurationsmentioning

confidence: 99%

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A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

Armitano-Lago

Dominic

Kiefer

2022

Front. Sports Act. Living

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Markerless motion capture systems are promising for the assessment of movement in more real world research and clinical settings. While the technology has come a long way in the last 20 years, it is important for researchers and clinicians to understand the capacities and considerations for implementing these types of systems. The current review provides a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis related to the successful adoption of markerless motion capture technology for the assessment of lower-limb musculoskeletal kinematics in sport medicine and performance settings. 31 articles met the a priori inclusion criteria of this analysis. Findings from the analysis indicate that the improving accuracy of these systems via the refinement of machine learning algorithms, combined with their cost efficacy and the enhanced ecological validity outweighs the current weaknesses and threats. Further, the analysis makes clear that there is a need for multidisciplinary collaboration between sport scientists and computer vision scientists to develop accurate clinical and research applications that are specific to sport. While work remains to be done for broad application, markerless motion capture technology is currently on a positive trajectory and the data from this analysis provide an efficient roadmap toward widespread adoption.

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“…The individual ankle joint strategy or the hip joint strategy was used to maintain balance while performing the FRT. In the present study, since the focus was on the movement of the ankle joint, the dorsiflexion angle of the ankle joint while performing the examination was required to be over 5° to minimize the hip joint strategy [30].…”

Section: Functional Reach Testmentioning

confidence: 99%

Correlation among triceps surae muscle structure, balance, and gait in persons with stroke

Park

Shin

et al. 2020

PTRS

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Objective: This study aimed to compare muscle structure, balance, and gait parameters between healthy adults and persons with stroke and to analyze the correlation among these variables. Design: Cross-sectional study. Methods: Twenty persons with stroke (11 male, 9 female) and twenty healthy participants (9 male, 11 female) were included. Ultrasound images of the triceps surae and the tibialis anterior were acquired in sitting resting, sitting co-contraction, and standing resting positions and also during the functional reach test (FRT) and single leg anterior reaching test (SLART). Muscle thickness and fascicle length were measured. Spatiotemporal parameters of gait were measured using a pressure walkway. Gait speed, cadence, step length, stride length, stance time, and swing time were measured. Results: Changes in percent fascicle length were significantly greater in the gastrocnemius and soleus (SOL) muscles of healthy adults in the sitting co-contraction position (p<0.05). The percent fascicle length of the SOL in FRT and SLART were significantly greater in healthy adults (p<0.05). The mid-stance phase of stroke patients was shorter than healthy adults (p<0.05). A negative correlation was observed between percent fascicle length of the SOL in the sitting co-contraction position and the proportion of the mid-stance phase (p<0.05). Conclusions: The function of the triceps surae is affected in persons with stroke when compared with healthy adults. This can lead to difficulty in performing tasks that involve forward transfer of weight. If the triceps surae is not sufficiently secured, the possibility of compensation in the stance phase increases during gait.

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Accuracy of classifying the movement strategy in the functional reach test using a markerless motion capture system

Cited by 11 publications

References 22 publications

A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs

A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs

A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport

Correlation among triceps surae muscle structure, balance, and gait in persons with stroke

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