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Author(s):  
Anne Schwarz ◽  
Miguel M. C. Bhagubai ◽  
Saskia H. G. Nies ◽  
Jeremia P. O. Held ◽  
Peter H. Veltink ◽  
...  

Abstract Background Upper limb kinematic assessments provide quantifiable information on qualitative movement behavior and limitations after stroke. A comprehensive characterization of spatiotemporal kinematics of stroke subjects during upper limb daily living activities is lacking. Herein, kinematic expressions were investigated with respect to different movement types and impairment levels for the entire task as well as for motion subphases. Method Chronic stroke subjects with upper limb movement impairments and healthy subjects performed a set of daily living activities including gesture and grasp movements. Kinematic measures of trunk displacement, shoulder flexion/extension, shoulder abduction/adduction, elbow flexion/extension, forearm pronation/supination, wrist flexion/extension, movement time, hand peak velocity, number of velocity peaks (NVP), and spectral arc length (SPARC) were extracted for the whole movement as well as the subphases of reaching distally and proximally. The effects of the factors gesture versus grasp movements, and the impairment level on the kinematics of the whole task were tested. Similarities considering the metrics expressions and relations were investigated for the subphases of reaching proximally and distally between tasks and subgroups. Results Data of 26 stroke and 5 healthy subjects were included. Gesture and grasp movements were differently expressed across subjects. Gestures were performed with larger shoulder motions besides higher peak velocity. Grasp movements were expressed by larger trunk, forearm, and wrist motions. Trunk displacement, movement time, and NVP increased and shoulder flexion/extension decreased significantly with increased impairment level. Across tasks, phases of reaching distally were comparable in terms of trunk displacement, shoulder motions and peak velocity, while reaching proximally showed comparable expressions in trunk motions. Consistent metric relations during reaching distally were found between shoulder flexion/extension, elbow flexion/extension, peak velocity, and between movement time, NVP, and SPARC. Reaching proximally revealed reproducible correlations between forearm pronation/supination and wrist flexion/extension, movement time and NVP. Conclusion Spatiotemporal differences between gestures versus grasp movements and between different impairment levels were confirmed. The consistencies of metric expressions during movement subphases across tasks can be useful for linking kinematic assessment standards and daily living measures in future research and performing task and study comparisons. Trial registration: ClinicalTrials.gov Identifier NCT03135093. Registered 26 April 2017, https://clinicaltrials.gov/ct2/show/NCT03135093.


Robotica ◽  
2022 ◽  
pp. 1-17
Author(s):  
Huipu Zhang ◽  
Manxin Wang ◽  
Haibin Lai ◽  
Junpeng Huang

Abstract The trajectory-planning method for a novel 4-degree-of-freedom high-speed parallel robot is studied herein. The robot’s motion mechanism adopts RR(SS)2 as branch chains and has a single moving platform structure. Compared with a double moving platform structure, the proposed parallel robot has better acceleration and deceleration performance since the mass of its moving platform is lighter. An inverse kinematics model of the mechanism is established, and the corresponding relationship between the motion parameters of the end-moving platform and the active arm with three end-motion laws is obtained, followed by the optimization of the motion laws by considering the motion laws’ duration and stability. A Lamé curve is used to transition the right-angled part of the traditional gate trajectory, and the parameters of the Lamé curve are optimized to achieve the shortest movement time and minimum acceleration peak. A method for solving Lamé curve trajectory interpolation points based on deduplication optimization is proposed, and a grasping frequency experiment is conducted on a robot prototype. Results show that the grasping frequency of the optimized Lamé curve prototype can be increased to 147 times/min, and its work efficiency is 54.7% higher than that obtained using the traditional Adept gate-shaped trajectory.


Author(s):  
Mohammad Khalaf Rahim Al-juaifari ◽  
Jammel Mohammed Ali Mohammed Mona ◽  
Zainab Abd Abbas

<p>Despite proposing a number of algorithms and protocols, especially those related to routing, for the purpose of reducing energy consumption in wireless sensor networks, which is one of the most important issues facing this type of network. In this research paper, energy consumption and cost are calculated taking into account energy consumption and the amount of data transferred to a thousand nodes through specific paths towards the mobile sink. The proposed model simulated by sending various amounts of data with specific path to know the energy consumption of each track and the network life time with 250, 500, and 1000 bits. Cost calculated using various weight for each track of these paths and the coefficient of movement time and path loss factor and others related to the transmission and receiving circuits. And finally, the results compared with a previous method it showed the efficiency of our method used and calculating 1000 nodes with various amount of bits to show the experimental results. Deep learning used to remember each and every path of each position or nearby to avoid calculation cost later.</p>


Author(s):  
Reilly O’Meagher ◽  
John O’Reilly ◽  
Ajmol Ali

Football (soccer) is traditionally played on natural grass but artificial surfaces are becoming an increasing popular alternative. Understanding how different surfaces affect a player's skill performance has not been examined. This study sought to compare soccer skill performance, using a validated test, on natural grass, third generation (3G) artificial turf, and indoor sprung wooden floor. Following familiarisation, 14 male players (12.7 ± 0.5 years-old, with 6.21 years playing experience) performed the Loughborough Soccer Passing Test (LSPT) on three different surfaces in the following order: indoor, grass and artificial turf. Players were given two practise attempts before the best of two trials were recorded. Movement time was faster on artificial turf (45.1 ± 1.3 s) than natural grass (46.2 ± 1.8 s; p = 0.045), but there was no difference in overall LSPT performance between grass (54.1 ± 4.2 s) and artificial turf (54.0 ± 4.7 s; p = 0.92). Overall LSPT performance was better on indoor surface (50.9 ± 4.6 s) than grass (p = 0.02) and artificial turf (p = 0.02) due to reduced penalty time on the indoor surface (5.5 ± 3.3 s) than grass (7.9 ± 2.9 s; p = 0.001) and artificial turf (8.9 ± 3.9 s; p = 0.003). There is no difference in soccer skill performance between grass and 3G artificial turf. Skill performance on an indoor surface was ∼6% better than both grass and 3G artificial turf due to better ball control and/or accuracy of passing. Our findings will enable comparison of studies using the LSPT on indoor and outdoor (grass or artificial) surfaces.


2021 ◽  
Author(s):  
Matheus Pacheco ◽  
Charley W. Lafe ◽  
Che-Hsiu Chen ◽  
Tsung-Yu Hsieh

The literature of Speed-Accuracy Trade-Off (SAT) in motor control has evidenced individuality in the preference to trade different aspects (mean, variance) of spatial and temporal errors. Nonetheless, to the best of our knowledge, how robust this preference is has not been properly tested. Thirty participants performed nine conditions with different time and spatial criteria over two days (scanning). In-between these scanning conditions, individuals performed a practice condition that required modifications of the individuals’ preferences in SAT. Through Bayesian analyses, we found that, despite individuals demonstrating changes during practice, decreasing movement time, they did not modify how they performed the scanning conditions. This is evidence for a robust SAT individual tendency. We discuss how such individuality could modify how individuals perform within/between SAT criteria, and what this means for interpretation of results.


eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Allison E Hamilos ◽  
Giulia Spedicato ◽  
Ye Hong ◽  
Fangmiao Sun ◽  
Yulong Li ◽  
...  

Clues from human movement disorders have long suggested that the neurotransmitter dopamine plays a role in motor control, but how the endogenous dopaminergic system influences movement is unknown. Here we examined the relationship between dopaminergic signaling and the timing of reward-related movements in mice. Animals were trained to initiate licking after a self-timed interval following a start-timing cue; reward was delivered in response to movements initiated after a criterion time. The movement time was variable from trial-to-trial, as expected from previous studies. Surprisingly, dopaminergic signals ramped-up over seconds between the start-timing cue and the self-timed movement, with variable dynamics that predicted the movement/reward time on single trials. Steeply rising signals preceded early lick-initiation, whereas slowly rising signals preceded later initiation. Higher baseline signals also predicted earlier self-timed movements. Optogenetic activation of dopamine neurons during self-timing did not trigger immediate movements, but rather caused systematic early-shifting of movement initiation, whereas inhibition caused late-shifting, as if modulating the probability of movement. Consistent with this view, the dynamics of the endogenous dopaminergic signals quantitatively predicted the moment-by-moment probability of movement initiation on single trials. We propose that ramping dopaminergic signals, likely encoding dynamic reward expectation, can modulate the decision of when to move.


2021 ◽  
Vol 2128 (1) ◽  
pp. 012002
Author(s):  
Mirhan Amgad ◽  
Iman Morsi ◽  
Mohamed M. M. Omar

Abstract Equipment surveillance or tracking is a hard-to-accomplish mission for a multi-locations company. This study examines a complete security system in Alexandria and EL-Dekheila ports of Egypt, as case study, to track equipment location. The system uses RFID (radio frequency identification) and Arduino kit as hardware to detect equipment motion, and visual studio and SQL (structured query language) as software to produce reports. The original place of equipment is saved as a reference. IR and RFID sensors are used at every department’s gate for IT access and for detecting and decoding the received equipment’s RFID card and ID data. Visual studio and SQL help in issuing the report on each equipment’s location and movement time. The system sends instant email messages and cellular phone messages to the control room.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pietro Caliandro ◽  
Gloria Menegaz ◽  
Chiara Iacovelli ◽  
Carmela Conte ◽  
Giuseppe Reale ◽  
...  

AbstractReach&grasp requires highly coordinated activation of different brain areas. We investigated whether reach&grasp kinematics is associated to EEG-based networks changes. We enrolled 10 healthy subjects. We analyzed the reach&grasp kinematics of 15 reach&grasp movements performed with each upper limb. Simultaneously, we obtained a 64-channel EEG, synchronized with the reach&grasp movement time points. We elaborated EEG signals with EEGLAB 12 in order to obtain event related synchronization/desynchronization (ERS/ERD) and lagged linear coherence between Brodmann areas. Finally, we evaluated network topology via sLORETA software, measuring network local and global efficiency (clustering and path length) and the overall balance (small-worldness). We observed a widespread ERD in α and β bands during reach&grasp, especially in the centro-parietal regions of the hemisphere contralateral to the movement. Regarding functional connectivity, we observed an α lagged linear coherence reduction among Brodmann areas contralateral to the arm involved in the reach&grasp movement. Interestingly, left arm movement determined widespread changes of α lagged linear coherence, specifically among right occipital regions, insular cortex and somatosensory cortex, while the right arm movement exerted a restricted contralateral sensory-motor cortex modulation. Finally, no change between rest and movement was found for clustering, path length and small-worldness. Through a synchronized acquisition, we explored the cortical correlates of the reach&grasp movement. Despite EEG perturbations, suggesting that the non-dominant reach&grasp network has a complex architecture probably linked to the necessity of a higher visual control, the pivotal topological measures of network local and global efficiency remained unaffected.


2021 ◽  
Author(s):  
Yu Wei Chua ◽  
Szu-Ching Lu ◽  
Anna Anzulewicz ◽  
Krzysztof Sobota ◽  
Christos Tachtatzis ◽  
...  

Movement is prospective. It structures self-generated engagement with objects and social partners and is fundamental to children’s learning and development. In autistic children, previous reports of differences in movement kinematics compared to neurotypical peers suggest its prospective organisation might be disrupted. Here, we employed a smart tablet serious game paradigm to assess differences in the feedforward and feedback mechanisms of prospective action organisation, between autistic and neurotypical preschool children. We analysed 3926 goal-directed finger movements made during smart-tablet ecological gameplay, from 28 children with Childhood Autism (ICD-10; ASD) and 43 neurotypical children (TD), aged 3-6 years old. Using linear and generalised linear mixed-effect models, we found the ASD group executed movements with longer Movement Time (MT) and Time to Peak Velocity (TTPV), lower Peak Velocity (PV), with peak velocity less likely to occur in the first movement unit, and with a greater number of Movement Units After Peak Velocity (MU-APV). Interestingly, compared to the TD group, the ASD group showed smaller increases in PV, TTPV and MT with an increase in Age (ASD x Age interaction), together with a smaller reduction in MU-APV and an increase in MU-APV at shorter target distances (ASD x Dist interaction). Our results are the first to highlight different developmental trends in anticipatory feedforward and compensatory feedback mechanisms of control, contributing to differences in movement kinematics observed between autistic and neurotypical children. These findings point to differences in integration of prospective perceptuomotor information, with implications for embodied cognition and learning from self-generated action in autism.


2021 ◽  
pp. 1-14
Author(s):  
Rachel R. Chapman ◽  
Hodan Raige ◽  
Ayan Abdulahi ◽  
Sumaya Mohamed ◽  
Muna Osman

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