scholarly journals A Sitting Posture Monitoring Instrument to Assess Different Levels of Cognitive Engagement

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 455 ◽  
Author(s):  
Daniele Bibbo ◽  
Marco Carli ◽  
Silvia Conforto ◽  
Federica Battisti
Keyword(s):  
Pressure Sensors ◽  
Cognitive Engagement ◽  
Cognitive Tasks ◽  
Difficulty Level ◽  
Time Intervals ◽  
Transition Analysis ◽  
Sitting Posture ◽  
Posture Monitoring ◽  
Seated Posture ◽  
Different Levels

An office chair for analyzing the seated posture variation during the performance of a stress-level test is presented in this work. To meet this aim, we placed a set of textile pressure sensors both on the backrest and on the seat of the chair. The position of the sensors was selected for maximizing the detection of variations of user’s posture. The effectiveness of the designed system was evaluated through an experiment where increasing stress levels were obtained by administering a Stroop test. The collected results had been analyzed by considering three different time intervals based on the difficulty level of the test (low, medium, and high). A transition analysis conducted on postures assumed during the test showed that participants reached a different posture at the end of the test, when the cognitive engagement increased, with respect to the beginning. This evidence highlighted the presence of movement presumably due to the increased cognitive engagement. Overall, the performed analysis showed the proposed monitoring system could be used to identify body posture variations related to different levels of engagement of a seated user while performing cognitive tasks.

scholarly journals The Influence of Different Levels of Cognitive Engagement on the Seated Postural Sway

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 601
Author(s):  
Daniele Bibbo ◽  
Silvia Conforto ◽  
Maurizio Schmid ◽  
Federica Battisti
Keyword(s):  
Working Conditions ◽  
Postural Sway ◽  
Center Of Pressure ◽  
Cognitive Engagement ◽  
Software Interface ◽  
Load Cells ◽  
Reliable Instrument ◽  
Seated Posture ◽  
Different Levels

In this paper, we introduced and tested a new system based on a sensorized seat, to evaluate the sitting dynamics and sway alterations caused by different cognitive engagement conditions. An office chair was equipped with load cells, and a digital and software interface was developed to extract the Center of Pressure (COP). A population of volunteers was recruited to evaluate alterations to their seated posture when undergoing a test specifically designed to increase the cognitive engagement and the level of stress. Relevant parameters of postural sway were extracted from the COP data, and significant alterations were found in all of them, highlighting the ability of the system to capture the emergence of a different dynamic behavior in postural control when increasing the complexity of the cognitive engagement. The presented system can thus be used as a valid and reliable instrument to monitor the postural patterns of subjects involved in tasks performed in a seated posture, and this may prove useful for a variety of applications, including those associated with improving the quality of working conditions.

scholarly journals Android Based Low Cost Sitting Posture Monitoring System

2020 ◽  
Author(s):  
Nusrat Binta Nizam ◽  
Tohfatul Jinan ◽  
Wahida Binte Naz Aurthy ◽  
Md. Rakib Hossen ◽  
Jahid Ferdous
Keyword(s):  
Monitoring System ◽  
Low Cost ◽  
Sitting Posture ◽  
Posture Monitoring

A Sensing Chair

1999 ◽  
Author(s):  
Hong Z. Tan
Keyword(s):  
Automatic Control ◽  
Real Time ◽  
Classification System ◽  
Tracking System ◽  
Pressure Sensors ◽  
Sensory Systems ◽  
Human Computer Interactions ◽  
Sitting Posture ◽  
Haptic Sensing ◽  
Posture Tracking

Abstract This paper is concerned with how objects in an environment can be made aware of people via haptic sensing. It was motivated by the desire to make our environment “smarter” by providing it with sensory systems similar to our own. The work reported here focuses on an object that is involved in virtually all human-computer interactions, yet has remained sensory-deprived — the chair. A real-time sitting posture classification system has been developed using surface-mounted pressure sensors placed on the seatpan and backrest of a chair. The ultimate goal of this work is to build a robust multi-user sitting-posture tracking system that will have many applications including ergonomics and automatic control of airbag deployment in a car. Challenges for reaching the goal and plans of nature work are discussed.

Relationship of Engagement and Practice Trials to Student Achievement

1985 ◽  
Vol 5 (1) ◽  
pp. 13-21 ◽  
Author(s):  
Stephen Silverman
Keyword(s):  
Cognitive Engagement ◽  
Skill Level ◽  
Skill Learning ◽  
Difficulty Level ◽  
Process Variables ◽  
Class Membership ◽  
Entire Sample ◽  
Significant Relationships ◽  
Practice Trials ◽  
Relationship Of

This study investigated relationships between two groups of process variables, student engagement and practice trials, and achievement. The effect of initial skill level and class membership in these relationships was also examined. Students (N = 57 after attrition) were pretested, instructed, and posttested on a swimming skill. The two instructional periods were videotaped and coded for motor engagement, cognitive engagement, and the quantity, type, and difficulty level of practice trials. Motor and cognitive engagement were not significant predictors of achievement for the entire sample. Whole-appropriate practice trials were positive predictors of achievement and whole-inappropriate practice trials were negative predictors of achievement. A variety of significant relationships were found when data were analyzed by skill level and class. The data indicate that engagement paradigms may extend to psychomotor skill learning and that the type of practice trials are more important than simple engaged time.

scholarly journals AI-powered Posture Training: Application of Machine Learning in Sitting Posture Recognition Using the LifeChair Smart Cushion

2019 ◽  
Author(s):  
Katia Bourahmoune ◽  
Toshiyuki Amagasa
Keyword(s):  
Machine Learning ◽  
Learning Algorithm ◽  
Well Being ◽  
Recognition System ◽  
Training System ◽  
Sensor Data ◽  
Physical And Mental Health ◽  
Sitting Posture ◽  
Posture Monitoring ◽  
Posture Recognition

Humans spend on average more than half of their day sitting down. The ill-effects of poor sitting posture and prolonged sitting on physical and mental health have been extensively studied, and solutions for curbing this sedentary epidemic have received special attention in recent years. With the recent advances in sensing technologies and Artificial Intelligence (AI), sitting posture monitoring and correction is one of the key problems to address for enhancing human well-being using AI. We present the application of a sitting posture training smart cushion called LifeChair that combines a novel pressure sensing technology, a smartphone app interface and machine learning (ML) for real-time sitting posture recognition and seated stretching guidance. We present our experimental design for sitting posture and stretch pose data collection using our posture training system. We achieved an accuracy of 98.93% in detecting more than 13 different sitting postures using a fast and robust supervised learning algorithm. We also establish the importance of taking into account the divergence in user body mass index in posture monitoring. Additionally, we present the first ML-based human stretch pose recognition system for pressure sensor data and show its performance in classifying six common chair-bound stretches.

scholarly journals Monitoring of sitting postures with sensor networks in controlled and free-living environments: A systematic review (Preprint)

2020 ◽  
Author(s):  
Arpita Kappattanavar ◽  
Nico Steckhan ◽  
Jan Philipp Sachs ◽  
Bert Arnrich ◽  
Erwin Böttinger
Keyword(s):  
Pressure Sensors ◽  
Classification Problem ◽  
Living Environment ◽  
Free Living ◽  
Data Set ◽  
Posture Analysis ◽  
Sitting Posture ◽  
Prolonged Sitting ◽  
Medium Quality

BACKGROUND Background: Prolonged sitting postures have been reported to increase the probability of developing low back pain. Moreover, the majority of employees in the industrial world work ninety percent of their time in a seated position. OBJECTIVE This review focuses on the technologies and algorithms that have been used to classify seating postures on a chair with respect to spine and limb movements. METHODS Three electronic literature databases have been surveyed to identify the studies classifying sitting posture in adults. Fourteen articles have been finally shortlisted. These articles were categorized into low, medium, and high quality. Most of the articles were categorized as medium quality (12/14). RESULTS The majority of the studies used pressure sensors (13/14) to classify sitting postures. Neural Networks were the most frequently (6/14) used approaches for classifying sitting postures. CONCLUSIONS Based on the current study the classification of sitting posture is still in the nascent stage and hence, we would suggest personalized sitting posture analysis. Furthermore, the review emphasizes identifying at least five basic postures along with different limb and spine movements in a free-living environment. It is essential to annotate the data set with ground truths for subsequent training of the classifier to solve the sitting posture classification problem.

scholarly journals Smart Chair for Monitoring of Sitting Behavior

2017 ◽  
Vol 2 (2) ◽  
pp. 274 ◽  
Author(s):  
Mengjie Huang ◽  
Ian Gibson ◽  
Rui Yang
Keyword(s):  
Human Body ◽  
Human Subjects ◽  
Healthcare Services ◽  
Human Computer Interactions ◽  
Intelligent Environment ◽  
Sitting Posture ◽  
Behavior Monitoring ◽  
Artificial Neural Network Classifier ◽  
Class 1 ◽  
Posture Monitoring

<p class="1">Sitting is a common behavior of human body in daily life. It is found that poor sitting postures can link to pains and other complications for people in literature. In order to avoid the adverse effects of poor sitting behavior, we have developed a highly practical design of smart chair system in this paper, which is able to monitor the sitting behavior of human body accurately and non-invasively. The pressure patterns of eight standardized sitting postures of human subjects were acquired and transmitted to the computer for the automatic sitting posture recognition with the application of artificial neural network classifier. The experimental results showed that it can recognize eight sitting postures of human subjects with high accuracy. The sitting posture monitoring in the developed smart chair system can help or promote people to achieve and maintain healthy sitting behavior, and prevent or reduce the chronic disease caused by poor sitting behavior. These promising results suggested that the presented system is feasible for sitting behavior monitoring, which can find applications in many areas including healthcare services, human-computer interactions and intelligent environment.</p>

scholarly journals СИСТЕМА КОМП’ЮТЕРНОГО МОДЕЛЮВАННЯ ОБ’ЄКТІВ І ПРОЦЕСІВ ТА ОСОБЛИВОСТІ ЇЇ ВИКОРИСТАННЯ В НАВЧАЛЬНОМУ ПРОЦЕСІ ЗАКЛАДІВ ЗАГАЛЬНОЇ СЕРЕДНЬОЇ ОСВІТИ

2018 ◽  
Vol 64 (2) ◽  
pp. 48
Author(s):  
Svitlana G. Lytvynova
Keyword(s):  
Secondary School ◽  
Computer Modeling ◽  
Group Work ◽  
Process Development ◽  
Educational Process ◽  
Cognitive Tasks ◽  
Educational Institutions ◽  
Historical Aspect ◽  
Level Of Knowledge ◽  
Different Levels

The article analyzes the historical aspect of the formation of computer modeling as one of the perspective directions of educational process development. The notion of “system of computer modeling”, conceptual model of system of computer modeling (SCMod), its components (mathematical, animation, graphic, strategic), functions, principles and purposes of use are grounded. The features of the organization of students work using SCMod, individual and group work, the formation of subject competencies are described; the aspect of students’ motivation to learning is considered. It is established that educational institutions can use SCMod at different levels and stages of training and in different contexts, which consist of interrelated physical, social, cultural and technological aspects. It is determined that the use of SCMod in general secondary school would increase the capacity of teachers to improve the training of students in natural and mathematical subjects and contribute to the individualization of the learning process, in order to meet the pace, educational interests and capabilities of each particular student. It is substantiated that the use of SCMod in the study of natural-mathematical subjects contributes to the formation of subject competencies, develops the skills of analysis and decision-making, increases the level of digital communication, develops vigilance, raises the level of knowledge, increases the duration of attention of students. Further research requires the justification of the process of forming students’ competencies in natural-mathematical subjects and designing cognitive tasks using SCMod.

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