scholarly journals DOES: A Deep Learning-Based Approach to Estimate Roll and Pitch at Sea

2021 ◽  
Author(s):  
Fabiana Di Ciaccio ◽  
Paolo Russo ◽  
Salvatore Troisi
Keyword(s):  
Deep Learning ◽  
Motion Tracking ◽  
Inertial Sensors ◽  
Low Cost ◽  
Human Motion ◽  
High Rate ◽  
The Novel ◽  
Wide Range ◽  
Maritime Navigation ◽  
Low Costs

The use of Attitude and Heading Reference Systems (AHRS) for orientation estimation is now common practice in a wide range of applications, e.g., robotics and human motion tracking, aerial vehicles and aerospace, gaming and virtual reality, indoor pedestrian navigation and maritime navigation. The integration of the high-rate measurements can provide very accurate estimates, but these can suffer from errors accumulation due to the sensors drift over longer time scales. To overcome this issue, inertial sensors are typically combined with additional sensors and techniques. As an example, camera-based solutions have drawn a large attention by the community, thanks to their low-costs and easy hardware setup; moreover, impressive results have been demonstrated in the context of Deep Learning. This work presents the preliminary results obtained by DOES , a supportive Deep Learning method specifically designed for maritime navigation, which aims at improving the roll and pitch estimations obtained by common AHRS. DOES recovers these estimations through the analysis of the frames acquired by a low-cost camera pointing the horizon at sea. The training has been performed on the novel ROPIS dataset, presented in the context of this work, acquired using the FrameWO application developed for the scope. Promising results encourage to test other network backbones and to further expand the dataset, improving the accuracy of the results and the range of applications of the method.

Human Arm Motion Tracking by Orientation-Based Fusion of Inertial Sensors and Kinect Using Unscented Kalman Filter

2016 ◽  
Vol 138 (9) ◽  
Author(s):  
Arash Atrsaei ◽  
Hassan Salarieh ◽  
Aria Alasty
Keyword(s):  
Kalman Filter ◽  
Motion Capture ◽  
Motion Tracking ◽  
Inertial Sensors ◽  
Unscented Kalman Filter ◽  
Low Cost ◽  
Human Motion ◽  
Home Based ◽  
Human Arm ◽  
Arm Motion

Due to various applications of human motion capture techniques, developing low-cost methods that would be applicable in nonlaboratory environments is under consideration. MEMS inertial sensors and Kinect are two low-cost devices that can be utilized in home-based motion capture systems, e.g., home-based rehabilitation. In this work, an unscented Kalman filter approach was developed based on the complementary properties of Kinect and the inertial sensors to fuse the orientation data of these two devices for human arm motion tracking during both stationary shoulder joint position and human body movement. A new measurement model of the fusion algorithm was obtained that can compensate for the inertial sensors drift problem in high dynamic motions and also joints occlusion in Kinect. The efficiency of the proposed algorithm was evaluated by an optical motion tracker system. The errors were reduced by almost 50% compared to cases when either inertial sensor or Kinect measurements were utilized.

scholarly journals A flexible motion tracking system based on inertial sensors

2018 ◽  
Vol 198 ◽  
pp. 04010
Author(s):  
Zhonghao Han ◽  
Lei Hu ◽  
Na Guo ◽  
Biao Yang ◽  
Hongsheng Liu ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Data Transfer ◽  
Inertial Sensors ◽  
Tracking System ◽  
Calibration Procedure ◽  
Human Motion ◽  
The Body ◽  
Support Vector ◽  
Motion Data ◽  
Motion Tracking System

As a newly emerging human-computer interaction, motion tracking technology offers a way to extract human motion data. This paper presents a series of techniques to improve the flexibility of the motion tracking system based on the inertial measurement units (IMUs). First, we built a most miniatured wireless tracking node by integrating an IMU, a Wi-Fi module and a power supply. Then, the data transfer rate was optimized using an asynchronous query method. Finally, to simplify the setup and make the interchangeability of all nodes possible, we designed a calibration procedure and trained a support vector machine (SVM) model to determine the binding relation between the body segments and the tracking nodes after setup. The evaluations of the whole system justify the effectiveness of proposed methods and demonstrate its advantages compared to other commercial motion tracking system.

Gait Analysis in the Assessment of Patients Undergoing a Total Hip Replacement

2019 ◽  
Author(s):  
Daniele Regazzoni ◽  
Andrea Vitali ◽  
Filippo Colombo Zefinetti ◽  
Caterina Rizzi
Keyword(s):  
Motion Capture ◽  
Hip Replacement ◽  
Motion Tracking ◽  
Low Cost ◽  
Quantitative Measure ◽  
Clinical Information ◽  
Human Motion ◽  
Technical Solution ◽  
Specific Context ◽  
Main Challenge

Abstract Nowadays, healthcare centers are not familiar with quantitative approaches for patients’ gait evaluation. There is a clear need for methods to obtain objective figures characterizing patients’ performance. Actually, there are no diffused methods for comparing the pre- and post-operative conditions of the same patient, integrating clinical information and representing a measure of the efficiency of functional recovery, especially in the short-term distance of the surgical intervention. To this aim, human motion tracking for medical analysis is creating new frontiers for potential clinical and home applications. Motion Capture (Mocap) systems are used to allow detecting and tracking human body movements, such as gait or any other gesture or posture in a specific context. In particular, low-cost portable systems can be adopted for the tracking of patients’ movements. The pipeline going from tracking the scene to the creation of performance scores and indicators has its main challenge in the data elaboration, which depends on the specific context and to the detailed performance to be evaluated. The main objective of this research is to investigate whether the evaluation of the patient’s gait through markerless optical motion capture technology can be added to clinical evaluations scores and if it is able to provide a quantitative measure of recovery in the short postoperative period. A system has been conceived, including commercial sensors and a way to elaborate data captured according to caregivers’ requirements. This allows transforming the real gait of a patient right before and/or after the surgical procedure into a set of scores of medical relevance for his/her evaluation. The technical solution developed in this research will be the base for a large acquisition and data elaboration campaign performed in collaboration with an orthopedic team of surgeons specialized in hip arthroplasty. This will also allow assessing and comparing the short run results obtained by adopting different state-of-the-art surgical approach for the hip replacement.

Confocal Fluorescence Microscopy with CCD Sensors Speed by Parallelization, Low Cost by Using More Electronics

2000 ◽  
Vol 6 (S2) ◽  
pp. 814-815
Author(s):  
Rudolf E. Großkopf
Keyword(s):  
High Speed ◽  
Low Cost ◽  
Confocal Imaging ◽  
The Novel ◽  
Optical Scanning ◽  
Semiconductor Chip ◽  
Confocal Fluorescence ◽  
Mechanical Scanning ◽  
Low Costs ◽  
Novel Concept

CCD sensors are able to image a few megapixels within one frame. The image is scanned electronically within the semiconductor chip (instead of mechanical-optical scanning with moving mirrors, Nipkow discs or acousto-optical devices). Through parallelization. the novel concept yields speed at an unprecedented degree for confocal imaging Routine applications requiring high speed and low costs will profit from this principle. Thus, confocal imaging technology will take the same path television technology has taken—from mechanical scanning to the broadest possible application of electronicsIn order to go this way, a pinhole matrix is used on the illumination side. It has as many pinholes and the same pitch as the pitch and number of pixels of the CCD (Figure 1). In front of the receiver, a second pinhole matrix with the same pitch and number of pinholes is used All pinholes of both matrices and the pixels of the CCD are in confocal position.

scholarly journals Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1257 ◽  
Author(s):  
Alessandro Filippeschi ◽  
Norbert Schmitz ◽  
Markus Miezal ◽  
Gabriele Bleser ◽  
Emanuele Ruffaldi ◽  
...  
Keyword(s):  
Upper Limb ◽  
Motion Tracking ◽  
Inertial Sensors ◽  
Human Motion

scholarly journals A Validation of Supervised Deep Learning for Gait Analysis in the Cat

2021 ◽  
Vol 15 ◽  
Author(s):  
Charly G. Lecomte ◽  
Johannie Audet ◽  
Jonathan Harnie ◽  
Alain Frigon
Keyword(s):  
Deep Learning ◽  
Gait Analysis ◽  
Correlation Coefficient ◽  
Motion Tracking ◽  
Low Cost ◽  
Intraclass Correlation ◽  
Correlation Coefficients ◽  
Bony Landmarks ◽  
Custom Made ◽  
Adult Cat

Gait analysis in cats and other animals is generally performed with custom-made or commercially developed software to track reflective markers placed on bony landmarks. This often involves costly motion tracking systems. However, deep learning, and in particular DeepLabCutTM (DLC), allows motion tracking without requiring placing reflective markers or an expensive system. The purpose of this study was to validate the accuracy of DLC for gait analysis in the adult cat by comparing results obtained with DLC and a custom-made software (Expresso) that has been used in several cat studies. Four intact adult cats performed tied-belt (both belts at same speed) and split-belt (belts operating at different speeds) locomotion at different speeds and left-right speed differences on a split-belt treadmill. We calculated several kinematic variables, such as step/stride lengths and joint angles from the estimates made by the two software and assessed the agreement between the two measurements using intraclass correlation coefficient or Lin’s concordance correlation coefficient as well as Pearson’s correlation coefficients. The results showed that DLC is at least as precise as Expresso with good to excellent agreement for all variables. Indeed, all 12 variables showed an agreement above 0.75, considered good, while nine showed an agreement above 0.9, considered excellent. Therefore, deep learning, specifically DLC, is valid for measuring kinematic variables during locomotion in cats, without requiring reflective markers and using a relatively low-cost system.

scholarly journals Design and Fabrication of an Automated Low-Cost Non-Contact Temperature Scanner and Sanitizer for Covid-19 Prevention

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Olaitan Akinsanmi ◽  
Abiodun E. Amoran ◽  
Ayodele S Oluwole ◽  
P C Igwe ◽  
P Adejuwon
Keyword(s):  
Temperature Sensor ◽  
Low Cost ◽  
Ultrasonic Sensor ◽  
The Body ◽  
Contact Temperature ◽  
High Rate ◽  
Motion Sensor ◽  
The Novel ◽  
Novel Virus ◽  
Sensor Temperature

The rate at which the novel virus Covid-19 spread across the world in an alarming rate with high rate of death of the infected persons is quite disturbing, hence the need to checkmate its spread by quickly identifying persons with the symptoms of this viral infection. This paper discusses the development of an automated low-cost non-contact temperature scanner and sanitizer. The system automatically detects a human being, scans for temperature, and sanitizes the person with no interference required. The circuit for the system comprises an Arduino microcontroller, LCD display, relays, ultrasonic sensors, temperature sensor, 12v DC pump motion sensor and a high pressure 12v DC pump. The temperature sensor (MLX90614) senses the temperature, certifies that the value is within the specified range as controlled by its ultrasonic sensor and displays the temperature on the LCD. Thereafter, an ultrasonic sensor activates the 12V DC pump to dispense the sanitizer. At the disinfectant chamber, the motion sensor will trigger the high-pressured DC pump when it senses movement, it dispenses the body sanitizer through the nozzles. C++ was used to program the Arduino in Arduino user interface. The entire process takes 60seconds and it helps to maintain personal preventive measures as well as detecting a possible symptomatic person as fever with high temperature which is one of the major symptoms of Covid-19. The device has been tested and works effectively, and it will be very useful for any organization with one or more buildings. It can be positioned at the entrance of buildings to sanitize and scan all staff and visitors against Covid-19. Keywords: Arduino, Covid-19, Hand sanitizer, Ultrasonic sensor, Temperature Scanner

scholarly journals Application Of Motion Capture Systems In Ergonomic Analysis

2020 ◽  
Vol 1 (1) ◽  
pp. 107-117
Author(s):  
Tigran Petrosyan ◽  
Arayik Dunoyan ◽  
Hasmik Mkrtchyan
Keyword(s):  
Motion Capture ◽  
Motion Tracking ◽  
Low Cost ◽  
Objective Assessment ◽  
Body Motion ◽  
Optical Systems ◽  
Wide Range ◽  
Optical Motion ◽  
Set Up ◽  
Ergonomic Analysis

Currently different methods are used for ergonomic assessment and analysis. This review tries to show how motion capture technology is applied in the process of ergonomic assessment. The goals of the analysis were to identify the most adequate method for objective assessment of ergonomics. The results show that the optical motion tracking systems with special software can be used to perform digital analysis of body motion. These systems do not require long set up time, majority of them are portable and the sensors are available in the market for a low cost. Movements of the working person are captured without special clothes equipped with markers. Though the optical systems could be acceptable in a wide range of tasks, they have certain limitations in ergonomic analysis. The performance of optical systems depends on a number of variables such as lighting, type of movements, distance from the object and environmental artefacts. The performance of existing systems is not yet completely reliable, but the technology is on the path of improving its accuracy. There are also other mechanical and magnetic technologies used for ergonomic analysis. This review shows that ergonomic simulations using the motion capture technology significantly improves the quality of ergonomic analysis.

Highly stretchable, rapid-response strain sensor based on SWCNTs/CB nanocomposites coated on rubber/latex polymer for human motion tracking

Sensor Review ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 233-245 ◽  
Author(s):  
Ying Huang ◽  
Chao Hao ◽  
Jian Liu ◽  
Xiaohui Guo ◽  
Yangyang Zhang ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Large Strain ◽  
Low Cost ◽  
Strain Sensor ◽  
Human Motion ◽  
Rubber Latex ◽  
Content Type ◽  
Human Motion Tracking ◽  
Highly Stretchable ◽  
Latex Polymer

Purpose The purpose of this study is to present a highly stretchable and flexible strain sensor with simple and low cost of fabrication process and excellent dynamic characteristics, which make it suitable for human motion monitoring under large strain and high frequency. Design/methodology/approach The strain sensor was fabricated using the rubber/latex polymer as elastic carrier and single-walled carbon nanotubes (SWCNTs)/carbon black (CB) as a synergistic conductive network. The rubber/latex polymer was pre-treated in naphtha and then soaked in SWCNTs/CB/silicon rubber composite solution. The strain sensing and other performance of the sensor were measured and human motion tracking applications were tried. Findings These strain sensors based on aforementioned materials display high stretchability (500 per cent), excellent flexibility, fast response (approximately 45 ms), low creep (3.1 per cent at 100 per cent strain), temperature and humidity independence, superior stability and reproducibility during approximately 5,000 stretch/release cycles. Furthermore, the authors used these composites as human motion sensors, effectively monitoring joint motion, indicating that the stretchable strain sensor based on the rubber/latex polymer and the synergetic effects of mixed SWCNTs and CB could have promising applications in flexible and wearable devices for human motion tracking. Originality/value This paper presents a low-cost and a new type of strain sensor with excellent performance that can open up new fields of applications in flexible, stretchable and wearable electronics, especially in human motion tracking applications where very large strain should be accommodated by the strain sensor.

Sign in / Sign up

Export Citation Format

Share Document