Development And Clinical Application Of The Body Movement Detection System

AbstractThis paper deals with particular issues in detection of human body’s movement using contactless sensor and consecutive application of recorded data on avatars model.We aimed at applying transformations to the skeleton model and skin of the avatar. Initial stages include choice of proper sensor and appropriate methods for transformation description. A semi-immersive virtual reality training system in the form of a fitting room has been chosen as a particular implementation of the body movement detection and application. The fitting room was selected because of its entertaining nature and a potential to be used as a training system for handicapped people with movement impairments.

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The use of Body Surface Index as a Better Clinical Health indicators Compare to Body Mass Index and Body Surface Area for Clinical Application

International Journal of Scientific Research in Science Engineering and Technology ◽

10.32628/ijsrset2184117 ◽

2018 ◽

pp. 131-136

Author(s):

Shirazu I. ◽

Theophilus. A. Sackey ◽

Elvis K. Tiburu ◽

Mensah Y. B. ◽

Forson A.

Keyword(s):

Surface Area ◽

Body Surface Area ◽

Clinical Application ◽

Body Surface ◽

Body Height ◽

Health Indicators ◽

The Body ◽

Body Parameters ◽

The Relationship ◽

Individual Body

The relationship between body height and body weight has been described by using various terms. Notable among them is the body mass index, body surface area, body shape index and body surface index. In clinical setting the first descriptive parameter is the BMI scale, which provides information about whether an individual body weight is proportionate to the body height. Since the development of BMI, two other body parameters have been developed in an attempt to determine the relationship between body height and weight. These are the body surface area (BSA) and body surface index (BSI). Generally, these body parameters are described as clinical health indicators that described how healthy an individual body response to the other internal organs. The aim of the study is to discuss the use of BSI as a better clinical health indicator for preclinical assessment of body-organ/tissue relationship. Hence organ health condition as against other body composition. In addition the study is `also to determine the best body parameter the best predict other parameters for clinical application. The model parameters are presented as; modeled height and weight; modelled BSI and BSA, BSI and BMI and modeled BSA and BMI. The models are presented as clinical application software for comfortable working process and designed as GUI and CAD for use in clinical application.

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Deadlift Recognition and Application based on Multiple Modalities using Recurrent Neural Network

Electronic Imaging ◽

10.2352/issn.2470-1173.2020.17.3dmp-a17 ◽

2020 ◽

Vol 2020 (17) ◽

pp. 2-1-2-6

Author(s):

Shih-Wei Sun ◽

Ting-Chen Mou ◽

Pao-Chi Chang

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Network Structure ◽

Inertial Sensors ◽

Body Movement ◽

The Body ◽

Body Parts ◽

Multimodal Sensing ◽

Multiple Devices ◽

Neural Network Structure

To improve the workout efficiency and to provide the body movement suggestions to users in a “smart gym” environment, we propose to use a depth camera for capturing a user’s body parts and mount multiple inertial sensors on the body parts of a user to generate deadlift behavior models generated by a recurrent neural network structure. The contribution of this paper is trifold: 1) The multimodal sensing signals obtained from multiple devices are fused for generating the deadlift behavior classifiers, 2) the recurrent neural network structure can analyze the information from the synchronized skeletal and inertial sensing data, and 3) a Vaplab dataset is generated for evaluating the deadlift behaviors recognizing capability in the proposed method.

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Estimation of Motion and Respiratory Characteristics during the Meditation Practice Based on Video Analysis

Sensors ◽

10.3390/s21113771 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3771

Author(s):

Alexey Kashevnik ◽

Walaa Othman ◽

Igor Ryabchikov ◽

Nikolay Shilov

Keyword(s):

Respiratory Rate ◽

Evaluation System ◽

Body Movement ◽

Absolute Error ◽

The Body ◽

Meditation Practice ◽

Body Parts ◽

Mental Health Training ◽

Negative Thoughts ◽

The Mean

Meditation practice is mental health training. It helps people to reduce stress and suppress negative thoughts. In this paper, we propose a camera-based meditation evaluation system, that helps meditators to improve their performance. We rely on two main criteria to measure the focus: the breathing characteristics (respiratory rate, breathing rhythmicity and stability), and the body movement. We introduce a contactless sensor to measure the respiratory rate based on a smartphone camera by detecting the chest keypoint at each frame, using an optical flow based algorithm to calculate the displacement between frames, filtering and de-noising the chest movement signal, and calculating the number of real peaks in this signal. We also present an approach to detecting the movement of different body parts (head, thorax, shoulders, elbows, wrists, stomach and knees). We have collected a non-annotated dataset for meditation practice videos consists of ninety videos and the annotated dataset consists of eight videos. The non-annotated dataset was categorized into beginner and professional meditators and was used for the development of the algorithm and for tuning the parameters. The annotated dataset was used for evaluation and showed that human activity during meditation practice could be correctly estimated by the presented approach and that the mean absolute error for the respiratory rate is around 1.75 BPM, which can be considered tolerable for the meditation application.

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Sensors for the detection of ammonia as a potential biomarker for health screening

Scientific Reports ◽

10.1038/s41598-021-86686-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Peter P. Ricci ◽

Otto J. Gregory

Keyword(s):

Vapor Phase ◽

Detection System ◽

Health Screening ◽

The Body ◽

Peptic Ulcers ◽

Non Invasive ◽

Sensing Platform ◽

Potential Biomarker ◽

Screening Protocol ◽

H Pylori

AbstractThe presence of ammonia within the body has long been linked to complications stemming from the liver, kidneys, and stomach. These complications can be the result of serious conditions such as chronic kidney disease (CKD), peptic ulcers, and recently COVID-19. Limited liver and kidney function leads to increased blood urea nitrogen (BUN) within the body resulting in elevated levels of ammonia in the mouth, nose, and skin. Similarly, peptic ulcers, commonly from H. pylori, result in ammonia production from urea within the stomach. The presence of these biomarkers enables a potential screening protocol to be considered for frequent, non-invasive monitoring of these conditions. Unfortunately, detection of ammonia in these mediums is rather challenging due to relatively small concentrations and an abundance of interferents. Currently, there are no options available for non-invasive screening of these conditions continuously and in real-time. Here we demonstrate the selective detection of ammonia using a vapor phase thermodynamic sensing platform capable of being employed as part of a health screening protocol. The results show that our detection system has the remarkable ability to selectively detect trace levels of ammonia in the vapor phase using a single catalyst. Additionally, detection was demonstrated in the presence of interferents such as carbon dioxide (CO2) and acetone common in human breath. These results show that our thermodynamic sensors are well suited to selectively detect ammonia at levels that could potentially be useful for health screening applications.

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Tuning of a Basic Coordination Pattern Constructs Straight-Ahead and Curved Walking in Humans

Journal of Neurophysiology ◽

10.1152/jn.00817.2003 ◽

2004 ◽

Vol 91 (4) ◽

pp. 1524-1535 ◽

Cited By ~ 96

Author(s):

Grégoire Courtine ◽

Marco Schieppati

Keyword(s):

Principal Components ◽

Lower Limb ◽

Time Course ◽

Body Movement ◽

The Body ◽

Whole Body ◽

Coordination Pattern ◽

Data Set ◽

Coordination Patterns ◽

Straight Ahead

We tested the hypothesis that common principles govern the production of the locomotor patterns for both straight-ahead and curved walking. Whole body movement recordings showed that continuous curved walking implies substantial, limb-specific changes in numerous gait descriptors. Principal component analysis (PCA) was used to uncover the spatiotemporal structure of coordination among lower limb segments. PCA revealed that the same kinematic law accounted for the coordination among lower limb segments during both straight-ahead and curved walking, in both the frontal and sagittal planes: turn-related changes in the complex behavior of the inner and outer limbs were captured in limb-specific adaptive tuning of coordination patterns. PCA was also performed on a data set including all elevation angles of limb segments and trunk, thus encompassing 13 degrees of freedom. The results showed that both straight-ahead and curved walking were low dimensional, given that 3 principal components accounted for more than 90% of data variance. Furthermore, the time course of the principal components was unchanged by curved walking, thereby indicating invariant coordination patterns among all body segments during straight-ahead and curved walking. Nevertheless, limb- and turn-dependent tuning of the coordination patterns encoded the adaptations of the limb kinematics to the actual direction of the walking body. Absence of vision had no significant effect on the intersegmental coordination during either straight-ahead or curved walking. Our findings indicate that kinematic laws, probably emerging from the interaction of spinal neural networks and mechanical oscillators, subserve the production of both straight-ahead and curved walking. During locomotion, the descending command tunes basic spinal networks so as to produce the changes in amplitude and phase relationships of the spinal output, sufficient to achieve the body turn.

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Caudal Fin and Body Movement in the Propulsion of some Fish

Journal of Experimental Biology ◽

10.1242/jeb.40.1.23 ◽

1963 ◽

Vol 40 (1) ◽

pp. 23-56 ◽

Cited By ~ 3

Author(s):

RICHARD BAINBRIDGE

Keyword(s):

Body Movement ◽

Wave Length ◽

The Body ◽

Whole Body ◽

Tail Region ◽

Caudal Fin ◽

A Value ◽

Total Thrust ◽

Transverse Movement ◽

Relationship Of

1. Observations made on bream, goldfish and dace swimming in the ‘Fish Wheel’ apparatus are described. These include: 2. An account of the complex changes in curvature of the caudal fin during different phases of the normal locomotory cycle. Measurements of this curvature and of the angles of attack associated with it are given. 3. An account of changes in area of the caudal fin during the cycle of lateral oscillation. Detailed measurements of these changes, which may involve a 30 % increase in height or a 20 % increase in area, are given. 4. An account of the varying speed of transverse movement of the caudal fin under various conditions and the relationship of this to the changes in area and amount of bending. Details of the way this transverse speed may be asymmetrically distributed relative to the axis of progression of the fish are given. 5. An account of the extent of the lateral propulsive movements in other parts of the body. These are markedly different in the different species studied. Measurements of the wave length of this movement and of the rate of progression of the wave down the body are given. 6. It is concluded that the fish has active control over the speed, the amount of bending and the area of the caudal fin during transverse movement. 7. The bending of the fin and its changes in area are considered to be directed to the end of smoothing out and making more uniform what would otherwise be an intermittent thrust from the oscillating tail region. 8. Some assessment is made of the proportion of the total thrust contributed by the caudal fin. This is found to vary considerably, according to the form of the lateral propulsive movements of the whole body, from a value of 45% for the bream to 84% for the dace.

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Mobilization of the Planet from the Spirit of Self-Intensification

TDR/The Drama Review ◽

10.1162/dram.2006.50.4.36 ◽

2006 ◽

Vol 50 (4) ◽

pp. 36-43 ◽

Cited By ~ 10

Author(s):

Peter Sloterdijk

Keyword(s):

Critical Theory ◽

Gilles Deleuze ◽

Body Movement ◽

The Body ◽

Felix Guattari ◽

Peter Sloterdijk ◽

First Time ◽

The Relationship

The articles in this first installment of a series on choreography that considers the relationship between philosophy and dance interrogate conceptions of the body, movement, and language. Translated for the first time into English, the selection by José Gil reads the dancing body as paradoxical through the writings of Gilles Deleuze and Félix Guattari; and the chapter by Peter Sloterdijk examines modernity's impulse toward movement and posits a critical theory of mobilization. An interview with choreographer Hooman Sharifi accompanies a meditation on his recent performance.

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IoT based Paralyzed Patient Health and Body Movement Monitoring System

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.35721 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 4495-4500

Author(s):

Hemanth Kumar. R

Keyword(s):

Monitoring System ◽

Spinal Cord Injuries ◽

Body Movement ◽

Developed Countries ◽

Health Condition ◽

The Body ◽

Raspberry Pi ◽

Normal Person ◽

Patient Health ◽

Paralyzed Patient

Healthcare systems are a very important part of the economy of any country and for the public health. The IoT-based monitoring system for patients with paralysis, which helps to promote the health condition of a patient with paralysis, in addition to the day-to-day life. India has suffered a stroke, the incidence is much higher than that of the more developed countries, it is home to around 2.1 million Indians suffered from the boom of the (lame) per year. If a patient is suffering from a paralysis attack in all or any part of the body can be turned off in order to move in, which means that their movement is restricted and they can barely communicate with anyone at all, because they can't talk like a normal person. Raccoons will find it difficult to understand what they are saying, and help them deal with their day-to-day needs, such as food, water, etc.). At present, work is in progress on the review of the motion parameters on the legs, arms, and head of the paralytics. This paper investigates the development of an integrated and portable prototype is a model of a system for the monitoring of the various movements of the body, spinal cord injuries, with the help of sensors. The tests were carried out by placing the sensors on the head, arm, and leg of the paralyzed patient the data received from these sensors are sent to the raspberry pi 3 model. In the Android app, you'll receive a verbal warning, and if the patient is in need of help via Bluetooth, which, in turn, is connected to the raspberry pi.

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