A Survey on sitting posture monitoring systems

Tlili, Ferdews; Haddad, Rim; Ouakrim, Youssef; Bouallègue, Ridha; Mezghani, Neila

doi:10.1109/isivc.2018.8709239

Cited by 14 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As is depicted in the line graph and human postural states, the higher the bending level, the higher the resistance value (Figure 1a,b). This sensor is distinguished by its lower cost, longer life, and lower sensitivity to detecting even a small bending degree of the spine [16].…”

Section: Sensorsmentioning

confidence: 99%

“…IMU sensors have attracted interest in medical, aerospace and other engineering fields because of its small size, high portability, low cost, and measurement accuracy, which enables them to be inserted directly into people's clothes as well [1,16]. It detects the exact position of shoulder posture of right and left lateral flexion in space, as shown in Figure 3a, and sends real-time data to the controller, which helps to monitor the detected values in real-time [1,11,20].…”

Section: Sensorsmentioning

confidence: 99%

“…In addition to flexible and inertial sensors, researchers also proposed pressure, inductive, and optical-fiber sensors for posture monitoring [16]. Study [17] explained the importance of developing a low-cost anti-hunchback device, which is claimed as comfortable, affordable, and wearable but not that easy to transport.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

et al. 2022

View full text Add to dashboard Cite

Billions of people are using smartphones and computers with poor posture. A careless attitude towards spinal posture could be dangerous for long-term spinal health, leading eventually to curvature of the spine. Ignoring this fact and its treatment at the early stage will significantly deteriorate spinal health and force surgical intervention. Instead of developing an automated posture-correcting system, the existing research mostly focused on a posture-monitoring system to inform the users via a human interface, e.g., Bluetooth-based devices. Therefore, this paper proposes a novel posture-correction method to automatically prevent spinal disease by facilitating proper posture habits. Specifically, we develop a fluid-driven wearable posture corrector, whose skeleton can be fabricated simply using a 3D printer, to estimate angular posture deviation using sensors and provide appropriate assistance to correct the posture habit of the user. Mounted sensors provide the degree of postural bending, and a controller regulates the appropriate signals to provide a friendly pulling force as a reminder to the user through a fluid-driven actuator. The skeleton with a fluid-driven tool is designed to mimic the motion of the spinal posture by activating the actuator, which injects (or releases) the fluid into (or from) the skeleton frame and regulates forces to reduce the angular deviation of the skeleton. The 3D-printed skeleton with a flexible rubber tube has been experimentally evaluated to ensure proper actuating mechanism through the adjustment of air pressure. It is found that, by applying air pressure in the range of 0 to 101.4 kPa, the skeleton is pulled back approximately 1 N to 7 N forces, minimizing the angle up to 12.44∘ with respect to the initial steady stage, which leads to a maximum posture correction of 32.55% angle (θ) of poor posture. From the above experiments, we ensure the functionality of the proposed posture corrector in producing backward forces to correct the posture automatically.

show abstract

Section: Sensorsmentioning

confidence: 99%

Section: Sensorsmentioning

confidence: 99%

See 1 more Smart Citation

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In light of these issues, there has been a growing interest in the development of systems capable of continuously monitoring either employees’ sitting behavior and posture, or cardiovascular health, but, as of now, no system proposed in the literature has integrated both of these monitoring modules. Sitting Posture Monitoring Systems (SPMSs) can be roughly divided into three main categories: computer vision based systems, wearable sensor systems and sensory chairs [ 12 ]. Even within each of these categories, system design and sitting posture classification approaches vary widely, but sensory chair-based SPMSs are by far the most ubiquitous in terms of sensor integration, user comfort and practicality.…”

Section: Introductionmentioning

confidence: 99%

A Novel Smart Chair System for Posture Classification and Invisible ECG Monitoring

Pereira¹,

Silva

2023

Sensors

View full text Add to dashboard Cite

In recent years, employment in sedentary occupations has continuously risen. Office workers are more prone to prolonged static sitting, spending 65–80% of work hours sitting, increasing risks for multiple health problems, including cardiovascular diseases and musculoskeletal disorders. These adverse health effects lead to decreased productivity, increased absenteeism and health care costs. However, lack of regulation targeting these issues has oftentimes left them unattended. This article proposes a smart chair system, with posture and electrocardiography (ECG) monitoring modules, using an “invisible” sensing approach, to optimize working conditions, without hindering everyday tasks. For posture classification, machine learning models were trained and tested with datasets composed by center of mass coordinates in the seat plane, computed from the weight measured by load cells fixed under the seat. Models were trained and evaluated in the classification of five and seven sitting positions, achieving high accuracy results for all five-class models (>97.4%), and good results for some seven-class models, particularly the best performing k-NN model (87.5%). For ECG monitoring, signals were acquired at the armrests covered with conductive nappa, connected to a single-lead sensor. Following signal filtering and segmentation, several outlier detection methods were applied to remove extremely noisy segments with mislabeled R-peaks, but only DBSCAN showed satisfactory results for the ECG segmentation performance (88.21%) and accuracy (90.50%).

show abstract

“…ere are several ways to monitor people's postures. Tlili [3] made an overview of systems on sitting posture monitoring. According to the principle of how to obtain this information, the systems can be divide into three main categories based on the following:…”

Section: Introductionmentioning

confidence: 99%

A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application

Matúška

Paralic

Hudec

2020

Mobile Information Systems

View full text Add to dashboard Cite

The employees’ health and well-being are an actual topic in our fast-moving world. Employers lose money when their employees suffer from different health problems and cannot work. The major problem is the spinal pain caused by the poor sitting posture on the office chair. This paper deals with the proposal and realization of the system for the detection of incorrect sitting positions. The smart chair has six flexible force sensors. The Internet of Things (IoT) node based on Arduino connects these sensors into the system. The system detects wrong seating positions and notifies the users. In advance, we develop a mobile application to receive those notifications. The user gets feedback about sitting posture and additional statistical data. We defined simple rules for processing the sensor data for recognizing wrong sitting postures. The data from smart chairs are collected by a private cloud solution from QNAP and are stored in the MongoDB database. We used the Node-RED application for the whole logic implementation.

show abstract

A Survey on sitting posture monitoring systems

Cited by 14 publications

References 25 publications

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

Development of an Automatic Air-Driven 3D-Printed Spinal Posture Corrector

A Novel Smart Chair System for Posture Classification and Invisible ECG Monitoring

A Smart System for Sitting Posture Detection Based on Force Sensors and Mobile Application

Contact Info

Product

Resources

About