Kinematic and electromyographic differences between mouse and touchpad use on laptop computers

Background

Numerous studies have compared the postures and muscular activities induced by the various input devices available. To the authors' knowledge, no studies have yet compared upper body posture and movement, sEMG activity and muscle co-contractions induced by use of a mouse or of a touchpad.

Objective

The aim of this study was to compare posture, joint excursion and sEMG activity when using a laptop equipped with a mouse or a touchpad.

Methods

Trunk and upper arm posture, ranges of motion and muscle activities were measured in ten subjects during two standardized tasks.

Results

Mouse use induced larger shoulder abduction than touchpad use. On the other hand, when a touchpad was used, the upper arm joints were bound and fixed to a greater extent than during mouse use. Touchpad users are forced to maintain a more static posture. The upper arm electromyography results clearly indicate that touchpad use requires more stabilization than mouse use.

Conclusion

Motor tasks executed by means of the mouse allow a greater range of motions and reduce the biomechanical stress thanks to the greater postural mobility, even though the posture is less neutral. The results of our study tend to suggest that an external mouse should be preferred to the touchpad by frequent users of laptops.

Relevance to industry

This study is a suggestion for IT companies to give customers information of possible advantages using an external mouse. Furthermore our data highlight the importance of providing a mouse to all laptop users in order to reduce biomechanical risks.     

Reconstruction of non-rigid 3D shapes from stereo-motion

Several non-rigid structure from motion methods have been proposed so far in order to recover both the motion and the non-rigid structure of an object. However, these monocular algorithms fail to give reliable 3D shape estimates when the overall rigid motion of the sequence is small. Aiming to overcome this limitation, in this paper we propose a novel approach for the 3D Euclidean reconstruction of deformable objects observed by an uncalibrated stereo rig. Using a stereo setup drastically improves the 3D model estimation when the observed 3D shape is mostly deforming without undergoing strong rigid motion. Our approach is based on the following steps. Firstly, the stereo system is automatically calibrated and used to compute metric rigid structures from pairs of views. Afterwards, these 3D shapes are aligned to a reference view using a RANSAC method in order to compute the mean shape of the object and to select the subset of points which have remained rigid throughout the sequence. The selected rigid points are then used to compute frame-wise shape registration and to robustly extract the motion parameters from frame to frame. Finally, all this information is used as initial estimates of a non-linear optimization which allows us to refine the initial solution and also to recover the non-rigid 3D model. Exhaustive results on synthetic and real data prove the performance of our proposal estimating motion, non-rigid models and stereo camera parameters even when there is no rigid motion in the original sequence.     

Maximum-throughput mapping of SDFGs on multi-core SoC platforms

Data-Flow models are attracting renewed attention because they lend themselves to efficient mapping on multi-core architectures. The key problem of finding a maximum-throughput allocation and scheduling of Synchronous Data-Flow graphs (SDFGs) onto a multi-core architecture is NP-hard and has been traditionally solved by means of heuristic (incomplete) algorithms with no guarantee of global optimality. In this paper we propose an exact (complete) algorithm for the computation of a maximum-throughput mapping of applications specified as SDFG onto multi-core architectures. This is, to the best of our knowledge, the first complete algorithm for generic SDF graphs, including those with loops and a finite iteration bound. Our approach is based on Constraint Programming, it guarantees optimality and can handle realistic instances in terms of size and complexity. Extensive experiments on a large number of SDFGs demonstrate that our approach is effective and robust.     

Calibrated fuzzy AHP for current bank account selection

Fuzzy AHP is a hybrid method that combines Fuzzy Set Theory and AHP. It has been developed to take into account uncertainty and imprecision in the evaluations. Fuzzy Set Theory requires the definition of a membership function. At present, there are no indications of how these membership functions can be constructed. In this paper, a way to calibrate the membership functions with comparisons given by the decision-maker on alternatives with known measures is proposed. This new technique is illustrated in a study measuring the most important factors in selecting a student current account.     

Analysis-oriented model for concrete and masonry confined with fiber reinforced mortar

Analysis-oriented model (AOM) is a theoretical approach intended to analyze and design systems by applying the notions throughout the organization of a series of equations in one or more iterative cycle. The stress–strain curve of an fiber reinforced polymer (FRP) confined column is evaluated using an incremental procedure, which takes into account the interaction between the confining material and the column itself. Many AOMs have been developed for FRP-confined columns, while the prediction of the behavior of the jacketing with fiber reinforced mortar (FRM) is, currently, still a lack of the literature due to the relative recent development of studies about this new confining composite material. The aim of this paper is to present and discuss a new AOM able to deliver the axial stress–strain law of an axially loaded column made of concrete or masonry and with circular or square cross-section, when FRM-confinement is provided. A step-by-step iteration of the axial strain was adopted considering that the column reacts elastically and the FRM confinement remains un-cracked in each single step. The elastic secant modulus of the column was, thereafter, considered in order to catch its non-linear behavior and a further secant modulus was also computed for modelling the damage evolution of the FRM confinement when increasing the axial load. Finally, a parametric study allowed to check the correct interpretation of the phenomenon. Moreover, the theoretical versus the experimental comparison validated the accuracy of the proposed model.     

Metabolic interferences in subjects occupationally exposed to binary styrene-acetone mixtures

OBJECTIVE: To investigate the excretion of styrene metabolites (mandelic acid, MA, and phenylglyoxylic acid, PGA) in workers employed in plastic manufacturing to verify the possible influence of coexposure to acetone on styrene metabolism. METHODS: This study was carried out on 50 workers employed in 3 factories producing polyester buttons. The workers were divided into three groups according to three different levels of acetone exposure. The trend of excretion for metabolites was examined during and after work shifts. Styrene and acetone were monitored on Thursday during the entire work shift by passive dosimeters placed on the lapel of the workers' uniforms, desorbed by carbon disulfide, and analyzed by gas chromatography. Biological monitoring was performed by determination of the urinary metabolites of styrene in urine samples collected on Thursday at the middle and the end of the work shift. MA and PGA were determined by a high-pressure liquid chromatographic method. RESULTS: The styrene concentrations ranged between 16 and 439 mg/m3, and in ten samples they exceeded the TLV-TWA (213 mg/m3). The acetone concentration ranged between 15 and 700 mg/m3 (TLV-TWA 1780 mg/m3), with the mean value being 208 mg/m3. During cleaning operations higher exposures to acetone demonstrated, with concentrations ranging between 500 and 3400 mg/m3. The amounts of MA and PGA determined at the end of workshifts did not significantly differ between the groups with different levels of acetone coexposure. Analysis of variance (ANOVA) between the groups confirmed that MA and PGA excretion did not significantly differ, although the metabolite values measured on the "morning of the day after" appeared higher in those groups with high levels of acetone exposure and were related to the average airborne concentrations of the solvent. In addition, the range and degree of correlation between styrene in air and biological levels of metabolites were modified by coexposure to acetone. CONCLUSIONS: Our data demonstrate that amounts of MA and PGA did not differ in groups with different levels of acetone exposure, but when the acetone air concentration increased the degree of correlation between styrene and MA and PGA decreased. Furthermore, coexposure to acetone levels similar to those described herein may hamper the use of urinary metabolites for the assessment of exposure to styrene, especially on an individual basis.     

Efficacy of 5-FU Combined to Na[trans-RuCl(4)(DMSO)Im], A Novel Selective Antimetastatic Agent, on the Survival Time of Mice With P388 Leukemia, P388/DDP subline and MCa Mammary Carcinoma

The combinational treatment between the selective antimetastatic agent, sodium-trans-rutheniumtetrachloridedimethylsulfoxideimidazole, Na[trans-RuCl(4)(DMSO)Im], and the cytotoxic drug 5-fluorouracil (5-FU) on primary tumor growth and on the survival time of experimental tumors results in an effect significantly greater than that of each single agent used alone either with the solid metastasizing MCa mammary carcinoma of the CBA mouse or with the lymphocytic leukemia P388 and its platinum resistant P388/DDP subline. Thus the inorganic compound Na[trans-RuCl(4)(DMSO)Im], known for its potent and selective antimetastatic effects, positively interacts with the antitumor action of an organic anticancer agent such as 5-FU on both a solid metastasizing tumor and a tumor of lymphoproliferative type. In particular, the effects of the combinational treatment on the survival time of tumor bearing mice seem to be related to the selective antimetastatic activity of the ruthenium complex that joins the potent cytotoxicity of 5-FU for the tumor. Moreover, these data show that Na[trans-RuCl(4)(DMSO)Im] is almost as effective on the subline of P388 made resistant to cisplatin as it was on the parental line.     

Climbing Plant‐Inspired Micropatterned Devices for Reversible Attachment

Climbing plants have evolved over millions of years and have adapted to unpredictable scenarios in unique ways. These crucial features make plants an outstanding biological model for scientists and engineers. Inspired by the ratchet‐like attachment mechanism of the hook‐climber Galium aparine, a novel micropatterned flexible mechanical interlocker is fabricated using a 3D direct laser lithography technique. The artificial hooks are designed based on a morphometric analysis of natural hooks. They are characterized in terms of pull‐off and shear forces, both in an array and as individual hooks. The microprinted hooks array shows high values of pull‐off forces (up to F_⊥ ≈ 0.4 N cm^?2) and shear forces (up to F_// ≈ 13.8 N cm^?2) on several rough surfaces (i.e., abrasive materials, fabrics, and artificial skin tissues). The contact separation forces of individual artificial hooks are estimated when loads with different orientations are applied (up to F ≈ 0.26 N). In addition, a patterned tape with directional microhooks is integrated into a mobile platform to demonstrate its climbing ability on inclined surfaces of up to 45°. This research opens up new opportunities for prototyping the next generation of mechanical interlockers, particularly for soft‐ and microrobotics, the textile industry, and biomedical fields.     

An ambient intelligence approach for learning in smart robotic environments

Smart robotic environments combine traditional (ambient) sensing devices and mobile robots. This combination extends the type of applications that can be considered, reduces their complexity, and enhances the individual values of the devices involved by enabling new services that cannot be performed by a single device. To reduce the amount of preparation and preprogramming required for their deployment in real‐world applications, it is important to make these systems self‐adapting. The solution presented in this paper is based upon a type of compositional adaptation where (possibly multiple) plans of actions are created through planning and involve the activation of pre‐existing capabilities. All the devices in the smart environment participate in a pervasive learning infrastructure, which is exploited to recognize which plans of actions are most suited to the current situation. The system is evaluated in experiments run in a real domestic environment, showing its ability to proactively and smoothly adapt to subtle changes in the environment and in the habits and preferences of their user(s), in presence of appropriately defined performance measuring functions.