This paper describes the design, development, and characterization of two wireless instrumented crutches for gait monitoring in order to provide clinicians quantitative parameters upper limbs' contributions during walking. These could be used teach orthopedic patients correctly use these supports minimize problems connected their usage. allow axial forces shear forces, tilt angles, time impact on ground real time. Each crutch is composed three strain-gauge bridges measuring a conditioning...

This paper is a first step towards smart hand gesture recognition set up for Collaborative Robots using Faster R-CNN Object Detector to find the accurate position of hands in RGB images. In this work, defined as combination two hands, where one an anchor and other codes command robot. Other spatial requirements are used improve performances model filter out incorrect predictions made by detector. As step, we only four gestures.

Physical inactivity is a major global public health concern, and table tennis offers low-impact, engaging way to promote physical activity across various age groups. However, many beginners struggle maintain effective participation due their lower skill levels. Therefore, the development reinforcement of stable grip techniques crucial because it will help achieve sustainable improvements in performance. This provide additional opportunities increase activity, therefore overall health, all...

An open question for the biomechanical research community is accurate estimation of volume and mass each body segment human body, especially when indirect measurements are based on modeling. Traditional methods involve adoption anthropometric tables, which describe only average shape, or manual measurements, time-consuming depend operator. We propose a novel method acquisition 3D scan subject’s obtained using consumer-end RGB-D camera. The segments’ separation by combining skeleton BlazePose...

This paper presents a new method for the automated processing of surface electromyography (SEMG) signals, particularly suited detection muscle activation timing. The has an intermediate level complexity between simpler (but less performing) and more complex in general slower) methods, is successfully used development biomedical devices rehabilitation carried out by our group. proposed here based on statistical approach threshold computation that implemented without need maximum voluntary...

The PMD Camboard Picoflexx Time-of-Flight (ToF) camera is evaluated against the Microsoft Kinect V2 to assess its performance in context of markerless motion capture system for human body kinematics measurements.Various error sources such as warm-up time, depth distortion, amplitude related error, signal-to-noise ratio, and limitations their dependence on illumination pattern target distance, are studied compared.The device also compared relation quality shape reconstructions, adequateness...

Time-of-flight cameras are widely adopted in a variety of indoor applications ranging from industrial object measurement to human activity recognition. However, the available products may differ terms quality acquired point cloud, and datasheet provided by constructors not be enough guide researchers choice perfect device for their application. Hence, this work details experimental procedure assess time-of-flight cameras' error sources that should considered when designing an application...

Powered exoskeletons can be used by the persons with complete spinal cord injury to achieve bipedal locomotion again. The training required before being able efficiently operate these orthotics, however, is currently based on subjective assessments of patient performance his therapist, without any quantitative information about internal loads or assistance level. To solve this issue, a sensor system was developed, combining traditional gait analysis systems, such as ground reaction force...

In this paper, we present a smart hand gesture recognition experimental set up for collaborative robots using Faster R-CNN object detector to find the accurate position of hands in RGB images taken from Kinect v2 camera. We used MATLAB code and purposely designed function prediction phase, necessary detecting static gestures way have defined them. performed number experiments with different datasets evaluate performances model situations: basic dataset four by combination both hands, where...

Residual vibrations affect machines at the end of commanded motion and can cause a lengthening work cycle. The proposed addresses to reduction this undesired phenomenon with an optimization approach based on Fourier transformation profile suppressing band exciting frequencies around natural system. Experimental results confirmed significant improvement, in terms residual vibrations, respect state art profiles specifically designed for reduction.

Robotic devices can be a viable solution in different rehabilitation activities for increasing patients' gains, providing high-frequent, repetitive and interactive treatments. In this paper, the design, development preliminary characterization of robotic system assisted hand rehabilitation, driven by surface EMG measurements, based on mirroring healthy movements is presented. The opening closing detected muscular activity used to guide glove moving paretic hand. innovative aspects research...

The paper presents a novel method for the classification of gait phases power orthosis users based on machine learning. uses depth images collected from Time Flight camera embedded in crutches employed assisted gait. learning algorithm foresees an initial phase data collection and processing, identifying 3D points belonging to foot those floor. From these, feature set is computed analyzing values percentiles distances floor, passed modified version Random Forest classifier, called Sigma-z...

Since cobots are designed to be flexible, they frequently repositioned change the production line according needs; hence, their working area (user frame) needs often calibrated. Therefore, it is important adopt a fast and intuitive user frame calibration method that allows even non-expert users perform procedure effectively, reducing possible mistakes may arise in such contexts. The aim of this work was quantitatively assess performance different procedures terms accuracy, complexity, time,...

<p class="Abstract">This article proposes a state-of-the-art algorithm for estimating the 3D volume enclosed in surface point cloud via modified extension of Monte Carlo integration approach. The consists pre-processing cloud, sequential generation points managed by an affiliation criterion, and final computation volume. phase allows spatial re-orientation original evaluation homogeneity its distribution, enclosure inside rectangular parallelepiped known criterion using explosion cube...

Optimizing the sorting of plastic waste plays a crucial role in improving recycling process. In this contribution, we report on comparative study multiple machine learning and chemometric approaches to categorize data set derived from analysis performed with handheld spectrometer working Near-Infrared (NIR) spectral range. Conducting cost-effective NIR requires identifying appropriate techniques improve commodity identification categorization. Chemometric techniques, such as Principal...

This paper presents the validation of a marker-less motion capture system used to evaluate upper limb stress subjects using exoskeletons for locomotion. The fuses human skeletonization provided by commercial 3D cameras with forces exchanged user ground through limbs utilizing instrumented crutches. aim is provide low cost, accurate, and reliable technology useful trainer quantitative evaluation impact assisted gait on subject without need use an lab. reaction at limbs' joints are measured...

Traffic calming devices on urban streets, such as elevated pedestrian crossings, speed bumps and roundabouts, are increasingly used, raising a real problem in relation to the on-board comfort that passengers perceive. To measure vibrational related traffic of public transport perceive, an acquisition system called ASGCM (Autonomous System for Geo-referenced Comfort Measurements) has been developed, taking reference European regulations rail transports. permits link each measurement...