scholarly journals Back loading estimation during team handling: Is the use of only motion data sufficient?

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244405
Author(s):  
Antoine Muller ◽  
Philippe Corbeil

Analyzing back loading during team manual handling tasks requires the measurement of external contacts and is thus limited to standardized tasks. This paper evaluates the possibility of estimating L5/S1 joint moments based solely on motion data. Ten subjects constituted five two-person teams and handling tasks were analyzed with four different box configurations. Three prediction methods for estimating L5/S1 joint moments were evaluated by comparing them to a gold standard using force platforms: one used only motion data, another used motion data and the traction/compression force applied to the box and one used motion data and the ground reaction forces of one team member. The three prediction methods were based on a contact model with an optimization-based method. Using only motion data did not allow an accurate estimate due to the traction/compression force applied by each team member, which affected L5/S1 joint moments. Back loading can be estimated using motion data and the measurement of the traction/compression force with relatively small errors, comparable to the uncertainty levels reported in other studies. The traction/compression force can be obtained directly with a force measurement unit built into the object to be moved or indirectly by using force platforms on which one of the two handlers stands during the handling task. The use of the proposed prediction methods allows team manual handling tasks to be analyzed in various realistic contexts, with team members who have different anthropometric measurements and with different box characteristics.

2021 ◽  
Author(s):  
Jonathan Wei ◽  
Bryan Blaauw ◽  
Dieter GM van der Pol ◽  
Mauricio Cruz Saldívar ◽  
Chun-Feng Lai ◽  
...  

<p>Inexperienced surgeons undertaking hip arthroplasties are twice as likely to experience errors than their experienced colleagues, leading to dislocations, pain and discomfort for the patients. To address this issue, a new 3DOF force measurement system was developed and integrated in multiple new prototypes able to measure forces and movements intraoperatively in 3D. The prototypes were evaluated in three cadaver trials, with the goal of providing surgeons objective data to help determine the optimal implant fit and configuration. The devices comprise deformable polymer material that provide strain-based displacements measured with electromagnetic-based sensors and inertial measurement unit (IMU) for motion data. Device results show an accuracy of approx. 2 N and a sensitivity of approx. 1 N. Cadaver results indicated that soft tissue forces on the hip joint peak in the order of ~100 N and trend with positions of the leg during range of motion (ROM) tests, although force patterns differ between each cadaver. We propose that by monitoring forces and force patterns, in combination with standardised ROM tests, anomalies could be detected and corrected during surgery.</p>


1986 ◽  
Vol 17 (3) ◽  
pp. 230-240 ◽  
Author(s):  
Lou Tomes ◽  
Dixie D. Sanger

A survey study examined the attitudes of interdisciplinary team members toward public school speech-language programs. Perceptions of clinicians' communication skills and of the clarity of team member roles were also explored. Relationships between educators' attitudes toward our services and various variables relating to professional interactions were investigated. A 64-item questionnaire was completed by 346 randomly selected respondents from a two-state area. Classroom teachers of grades kindergarten through 3, teachers of grades 4 through 6, elementary school principals, school psychologists, and learning disabilities teachers comprised five professional categories which were sampled randomly. Analysis of the results revealed that educators generally had positive attitudes toward our services; however, there was some confusion regarding team member roles and clinicians' ability to provide management suggestions. Implications for school clinicians were discussed.


Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5004
Author(s):  
Haohao Hu ◽  
Johannes Beck ◽  
Martin Lauer ◽  
Christoph Stiller

The fusion of motion data is key in the fields of robotic and automated driving. Most existing approaches are filter-based or pose-graph-based. By using filter-based approaches, parameters should be set very carefully and the motion data can usually only be fused in a time forward direction. Pose-graph-based approaches can fuse data in time forward and backward directions. However, pre-integration is needed by applying measurements from inertial measurement units. Additionally, both approaches only provide discrete fusion results. In this work, we address this problem and present a uniform B-spline-based continuous fusion approach, which can fuse motion measurements from an inertial measurement unit and pose data from other localization systems robustly, accurately and efficiently. In our continuous fusion approach, an axis-angle is applied as our rotation representation method and uniform B-spline as the back-end optimization base. Evaluation results performed on the real world data show that our approach provides accurate, robust and continuous fusion results, which again supports our continuous fusion concept.


2010 ◽  
Vol 132 (02) ◽  
pp. 22-25 ◽  
Author(s):  
Doug Wilde

This article discusses the significance of psychologically diverse individuals in the success of a team. As technology advances, products are increasingly being designed in the commercial world by teams of skilled collaborators. Each team member is chosen to bring a specific range of skills and experience to bear on the mission, and each contributor is essential to a successful outcome. Some studies suggest that performance improves when a team pays attention to its individual personalities. The basic principle learned, which may apply in corporations as well as universities, is that in the long run teams do better when they are composed of people with the widest possible range of personalities, even though it takes longer for such psychologically diverse teams to achieve smooth communications and good cooperation. Before diverse team members can be integrated into a cooperative unit, they must not only cultivate an openness to opposing opinions, but also recognize the value of exploring a problem from various angles. Sharing personality information about each other facilitates this essential awareness.


2016 ◽  
Vol 12 (4) ◽  
pp. 687-716 ◽  
Author(s):  
Catherine K. Lam ◽  
Xu Huang ◽  
Frank Walter ◽  
Simon C. H. Chan

ABSTRACTThis study investigates the origins of discrete interpersonal emotions in team-member dyads using two independent samples from an education institute and a telecommunication services company in China. Results across both studies showed that the quality of team members’ dyadic relationships positively relates to interpersonal admiration, sympathy, and envy, and negatively relates to interpersonal contempt. Furthermore, teams’ cooperative goals moderate these dyad-level linkages. The association of relationship quality with interpersonal emotions is particularly pronounced in teams with less cooperative goals but buffered in teams with more cooperative goals. Finally, on the individual level of analysis, envy and contempt are inversely associated with team members’ work performance, objectively measured. These findings provide new insights about key antecedents and crucial moderators in the development of interpersonal emotions in Chinese work teams and reiterate the relevance of these emotions for tangible performance outcomes.


Author(s):  
Bethany K. Bracken ◽  
Noa Palmon ◽  
David Koelle ◽  
Mike Farry

For teams to perform effectively, individuals must focus on their own tasks, while simultaneously maintaining awareness of other team members. Researchers studying and attempting to optimize performance of teams as well as individual team members use assessments of behavioral, neurophysiological, and physiological signals that correlate with individual and team performance. However, synchronizing data from multiple sensor devices can be difficult, and building and using models to assess human states of interest can be time-consuming and non-intuitive. To assist researchers, we built an Adaptable Toolkit for the Assessment and Augmentation of Performance by Teams in Real Time (ADAPTER), which provides a framework that flexibly integrates sensors and fuses sensor data to assess performance. ADAPTER flexibly integrates current and emerging sensors; assists researchers in creating and implementing models that support research on performance and the development of augmentation strategies; and enables comprehensive and holistic characterization of team member performance during real-time experimental protocols.


2018 ◽  
Vol 7 (2.8) ◽  
pp. 335
Author(s):  
Venkata Snehith.H ◽  
Likita Ratna D ◽  
Syed Shameem

Our work aims at the design of wearable electronic modules that can be assembled as systems for sensing, processing, transmitting, actuating and mimicking human hand gestures and movements, to be used in various robotic, educational, military, medical, industrial, general and hobby applications, the secondary focus of our work is reducing the cost, complexity and assembly of such systems, which are already being used by research centers, laboratories and high-class industries all over the world while the primary objective is to bring these systems down to customizable modular components which could be assembled and combined the way the user wishes to and needs them to be, thereby bringing these concepts closer to a wider range of students, enthusiasts and hobbyists making it easy for them to understand and comprehend these concepts even at the beginner level. In our project, we used commonly available piezo-resistive materials and other household items to make force, pressure, stress, strain and bend sensors and appended them to an Inertial measurement unit, a microcontroller and a wireless transceiver all embedded onto a single chip, to create a simple sensing mechanism that could be worn on a human hand to sense, process and transmit the gestures for actuating and mimicking applications.


2018 ◽  
Vol 44 (1) ◽  
pp. 165-210 ◽  
Author(s):  
Andrew C. Loignon ◽  
David J. Woehr ◽  
Misty L. Loughry ◽  
Matthew W. Ohland

Emergent states are team-level attributes that reflect team members’ collective attitudes, values, cognitions, and motivations and influence team effectiveness. When measuring emergent states (e.g., cohesion, conflict, satisfaction), researchers frequently collect ratings from individual group members and aggregate them to the team level. After aggregating to the team level, researchers typically focus on mean differences across teams and ignore variability within teams. Rather than focusing on the mean level of emergent states, this study draws on recent advances in multilevel theory and describes an approach for examining the specific patterns of dispersion (i.e., disagreement) across five emergent states. Our findings suggest that teams reliably demonstrate different patterns of rating dispersion that are consistent with existing theoretical frameworks and typologies of dispersion, yet have not previously been empirically demonstrated. We also present evidence that the different patterns of dispersion in emergent states are significantly related to key team outcomes, even after controlling for the mean levels of those emergent states. These findings underscore the importance of exploring additional forms of team-level constructs and highlight ways of extending our understanding of group-level phenomena.


Author(s):  
Tyler F. Thomas ◽  
Todd A. Thornock

In this study, we investigate how team members' social value orientation (SVO) affects their contributions to a team project when different types of information about other team members' effort is known. Specifically, we examine the team contributions made by proselfs and prosocials after they learn either the input provided or output achieved by other team members. Proselfs subsequently contributed less following input information compared to output information because they can use input information opportunistically to justify their own lower contributions. Conversely, prosocials contributed more after receiving input information compared to output information because they perceive input information as being more psychologically meaningful. Finally, proself teams with output information perform similarly to prosocial teams with either type of information. These findings provide insight into how information about team member contributions and SVO affect individuals' subsequent team contributions, and how output information can help mitigate proselfs' free-riding tendencies and improve team performance.


2016 ◽  
Vol 10 (1) ◽  
Author(s):  
Daphna Shwartz-Asher

In light of the growing phenomenon of virtual teams as a new concept within the Human Resources Management (HRM) world, the traditional definition of team member 'compliance' should be redefined. In order to measure the influence of the virtuality level on the team member’s reaction to instructions, an experiment was designed, in which a team task with a set of instructions was given to 150 subjects who participated in virtual or non-virtual task solving' meetings. This study’s main finding indicates that while the structured virtual team members complied with the directive to divide the labor between them and to appoint a chairperson, the structured non-virtual team members did not comply. It seems that pertaining to the task of appointing a chairperson, as for the division of labor, the use of the “formality” variable may explain the compliance of the structured virtual team members as opposed to the lack of compliance among members of the structured non-virtual team members. This research contributes to a better understanding of virtual team HRM strategies in the hope of improving the teams’ compliance and management within today’s virtual world.


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