A laser dot tracking method for the assessment of sensorimotor function of the hand

Karvelis, Petros; Röijezon, Ulrik; Faleij, Ragnar; Georgoulas, George; Mansouri, Sina Sharif; Nikolakopoulos, George

doi:10.1109/med.2017.7984121

Cited by 4 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cervical movement sense test in this study was performed and recorded similarly to that undertaken in previous studies ( 14 – 16 ). The difference was that we used an automatized image analysis pipeline for outcome measures of Acuity, Speed, and Time ( 17 , 18 ) instead of a human visual assessment of the number of errors and time. Time should be similar between methods, as this relates to the time between the start and stop of the test.…”

Section: Discussionmentioning

confidence: 99%

“…It was developed to evaluate the movement sense of the hand ( 17 ). Detection of the four corners in the zigzag pattern, detection of the laser dot, and extraction of variables were conducted as previously described ( 18 ). Three different outcome variables were extracted from the video data as follows: Acuity - calculated as a percentage of the trial time the laser dot was on the black target line; Speed - average movement speed in mm/s; and Time - calculated in seconds to complete the task.…”

Section: Methodsmentioning

confidence: 99%

“…Röijezon et al ( 17 ) recently tested a similar tracing method to objectively assess the proprioceptive capacity of the hand. Instead of human ratings of the performance, video recordings were analyzed with custom-made computer software to calculate movement acuity and speed ( 18 ). Acuity and speed add relevant information to the task performance ( 19 ) but are not possible to score with a human visual rating of the test.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proprioceptive Disturbance in Chronic Neck Pain: Discriminate Validity and Reliability of Performance of the Clinical Cervical Movement Sense Test

et al. 2022

View full text Add to dashboard Cite

Chronic neck pain is associated with sensorimotor dysfunctions, which may develop symptoms, affect daily activities, and prevent recovery. Feasible, reliable, and valid objective methods for the assessment of sensorimotor functions are important to identify movement impairments and guide interventions. The aim of this study was to investigate the discriminative validity of a clinical cervical movement sense test, using a laser pointer and an automatic video-based scoring system. Individuals with chronic neck pain of idiopathic onset (INP), traumatic onset (TNP), and healthy controls (CON) were tested. Associations between movement sense and neck disability were examined and the repeatability of the test was investigated. A total of 106 participants (26 INP, 28 TNP, and 52 CON) were included in a cross-sectional study. Acuity, Speed, Time, and NormAcuity (i.e., normalized acuity by dividing acuity with movement time) were used as outcome measures. ANOVAs were used for group comparisons and Pearson correlations for associations between movement sense variables and neck disability index (NDI). Notably, 60 of the participants (30 CON, 17 INP, and 13 TNP) performed the test on a second occasion to explore test-retest reliability. Results revealed a reduced NormAcuity for both INP and TNP compared with CON (p < 0.05). The neck pain groups had similar Acuity but longer Time compared with CON. Among TNP, there was a fair positive correlation between Acuity and NDI, while there was a negative correlation between Acuity and NDI among INP. Reliability measures showed good to excellent ICC values between tests, but standard error of measurements (SEM) and minimal detectable change (MDC) scores were high. The results showed that NormAcuity is a valuable measure to identify disturbed cervical movement sense among INP and TNP. While Acuity was similar between the groups, different strategies, such as longer Time, to perform the task among neck patient groups were used. Few differences were identified between the neck pain groups, but altered strategies may exist. Reliability was acceptable, and the test is feasible to perform in the clinic. However, the technical complexity of the automated image analysis is a concern. Future developments will provide more feasible solutions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proprioceptive Disturbance in Chronic Neck Pain: Discriminate Validity and Reliability of Performance of the Clinical Cervical Movement Sense Test

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Kang et al [9] developed a laser-pointer system for human–robot interactions, in which the user can draw trajectories and send commands. Karvelis et al [10] instructed patients to follow a zig-zag pattern using a hand-held laser pointer to assess their sensorimotor function. Fukuda et al [11] used a laser pointer to guide wheelchairs passing through various obstacles.…”

Section: Introductionmentioning

confidence: 99%

Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms

Ming

Zhang

Yang

et al. 2019

Sensors

View full text Add to dashboard Cite

As the aging of the population becomes more severe, wheelchair-mounted robotic arms (WMRAs) are gaining an increased amount of attention. Laser pointer interactions are an attractive method enabling humans to unambiguously point out objects and pick them up. In addition, they bring about a greater sense of participation in the interaction process as an intuitive interaction mode. However, the issue of human–robot interactions remains to be properly tackled, and traditional laser point interactions still suffer from poor real-time performance and low accuracy amid dynamic backgrounds. In this study, combined with an advanced laser point detection method and an improved pose estimation algorithm, a laser pointer is used to facilitate the interactions between humans and a WMRA in an indoor environment. Assistive grasping using a laser selection consists of two key steps. In the first step, the images captured using an RGB-D camera are pre-processed, and then fed to a convolutional neural network (CNN) to determine the 2D coordinates of the laser point and objects within the image. Meanwhile, the centroid coordinates of the selected object are also obtained using the depth information. In this way, the object to be picked up and its location are determined. The experimental results show that the laser point can be detected with almost 100% accuracy in a complex environment. In the second step, a compound pose-estimation algorithm aiming at a sparse use of multi-view templates is applied, which consists of both coarse- and precise-matching of the target to the template objects, greatly improving the grasping performance. The proposed algorithms were implemented on a Kinova Jaco robotic arm, and the experimental results demonstrate their effectiveness. Compared with commonly accepted methods, the time consumption of the pose generation can be reduced from 5.36 to 4.43 s, and synchronously, the pose estimation error is significantly improved from 21.31% to 3.91%.

show abstract

Laser Point Detection Based on Improved Target Matching Method for Application in Home Environment Human-Robot Interaction

Liu

Zhang

Yao

et al. 2018

2018 11th International Workshop on Human Friendly Robotics (HFR)

View full text Add to dashboard Cite

A laser dot tracking method for the assessment of sensorimotor function of the hand

Cited by 4 publications

References 15 publications

Proprioceptive Disturbance in Chronic Neck Pain: Discriminate Validity and Reliability of Performance of the Clinical Cervical Movement Sense Test

Proprioceptive Disturbance in Chronic Neck Pain: Discriminate Validity and Reliability of Performance of the Clinical Cervical Movement Sense Test

Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms

Laser Point Detection Based on Improved Target Matching Method for Application in Home Environment Human-Robot Interaction

Contact Info

Product

Resources

About