Flexible Force Sensors Embedded in Office Chair for Monitoring of Sitting Postures

Ishaku, Amayikai A.; Tranganidas, Aris; Matúška, Slavomír; Hudec, Róbert; McCutcheon, Graeme; Stanković, Lina; Glesková, Helena

doi:10.1109/fleps.2019.8792250

Cited by 14 publications

(6 citation statements)

References 8 publications

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“…Various approaches were proposed for reducing the risk of MSD through detection of poor sitting postures or real-time intelligent monitoring of sedentary behaviors, including vision camera tracking real-time postures [5], [6] and wearable inertia sensors (accelerometers) attached to the body or spine [7], [8]. But perhaps the most popular solutions use smart textile sensors integrated into garments [9]- [12] and 'smart' or 'intelligent' chairs or seat platforms embedded with commercial flexible sensors [13]. However, to date much of the research has focused on machine learning algorithms and internet of things (IoT) solutions and less on the electromechanical aspects of the sensor cushion.…”

Section: Million Days Of Lost Work Averagingmentioning

confidence: 99%

Optimization of All-Textile Capacitive Sensor Array for Smart Chair

et al. 2022

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All-textile capacitive sensor arrays made of a polyurethane foam, fabric and electricallyconducting yarn were fabricated for a 'smart chair'. Polyurethane foam slab that functioned as a dielectric medium was encased between two pieces of commercially available fabric. The electrically-conducting yarn was used to embroider the capacitor electrodes on both fabric pieces. The completed sensor arrays were investigated under normal compressive load with the targeted pressure range of 2 to 30 kPa for the chair seat and 2 to 8 kPa for the backrest. The sensor capacitance versus normal compressive load exhibited a load/unload hysteresis for all sensor arrays. The hysteresis was modelled with sigmoid function and much narrower hysteresis was observed when all sensors were loaded simultaneously, as opposed to their individual loading, allowing development of a phenomenological model for the former. Among the studied sensor arrays, the array with dimensions of 30 cm × 30 cm made of a 10-mm-thick polyurethane foam with density of ∼18.6 kg/m 3 was the most suitable for the following reasons: (a) unloaded sensor capacitance was ∼2.7 pF, (b) the sensor location did not affect its response, (c) ∼10 kg load applied across individual sensor raised its capacitance by ∼12 pF, and (d) 60 kg load applied uniformly across the whole sensor array increased the capacitance by ∼5 pF. During the compression of the individual sensors the top fabric affected the sensor's electro-mechanical response and elastic fabric would be favored for applications with non-uniform pressure distribution.INDEX TERMS Capacitive sensors, polymer foams, sensor arrays, smart devices, textiles.

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Section: Million Days Of Lost Work Averagingmentioning

confidence: 99%

Optimization of All-Textile Capacitive Sensor Array for Smart Chair

et al. 2022

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“…The posture monitoring systems based on force sensors are proposed in [10,11]. The proposed systems are composed of flexible force sensors stretched in the seat and the backrest of the chair.…”

Section: Existing Posture Monitoring Systemsmentioning

confidence: 99%

A Real-time Posture Monitoring System Towards Bad Posture Detection

Tlili¹,

Haddad

Bouallègue³

et al. 2021

Wireless Pers Commun

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The neck and back pains are the most spread health problems of the century caused by remaining slouching for long hours on the smart phones, the tablets and the computers. Many medical researches prove that the monitoring and the improving of the seating posture can prevent the spinal pains. In this paper we propose a Real-time seating posture monitoring system. The system is composed of a smart belt equipped with inertial sensors. The sensors collect the posture information and send them to a cloud server via Wi-Fi connection. The cloud server processes the collected data, then, sends the result to mobile applications via Wi-Fi connection. The mobile applications allow the user to monitor his posture over time and receive in Real-time a sound and a visual notification in case of a bad posture detection. Two mobile applications Android and iOS are implemented that can be used for different mobile phone OS. In this work we will detail the design and the architecture of the proposed posture monitoring system and the implemented mobile applications. We will present the posture measurements of good and bad posture using the proposed posture monitoring system.

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“…Most of the available technologies to monitor posture are based on pressure maps obtained by the incorporation of electronic sensors at different points of the chair [5][6][7][8][9][10]. Nevertheless, electronic sensors exhibit limitations, one of the biggest being the use of electrical signals at the point of measurement, which makes them susceptible to catastrophic failure if in contact with liquids (in case of an accident or even cleaning), increases the risk of short circuit and/or electric fire, and even user safety.…”

Section: Introductionmentioning

confidence: 99%

Instrumented Office Chair With Low-Cost Plastic Optical Fiber Sensors for Posture Control and Work Conditions Optimization

et al. 2022

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People spend more and more time sitting and this habit has been shown to cause spine pathologies. Thus, the scientific community and the industry have become interested in instrumented chairs development to detect incorrect user postures. In this work we present the development and implementation of invisibles and non-intrusive plastic optical fiber sensor cells to monitor the posture and evaluate the ergonomic behavior of a seated person. The low-cost plastic optical fiber (POF) based sensing devices developed in this work, were implemented in an office chair, to evaluate the workers posture throughout their work day. In addition to the sensors, Android and PC software applications were developed, to provide real time feedback and alerts to the user whenever an inadequate posture is detected, or the seating position is the same for a long time. The proposed approach was evaluated in a study involving six users, and results show that it can detect the user's position with 96.6% accuracy.

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Flexible Force Sensors Embedded in Office Chair for Monitoring of Sitting Postures

Cited by 14 publications

References 8 publications

Optimization of All-Textile Capacitive Sensor Array for Smart Chair

Optimization of All-Textile Capacitive Sensor Array for Smart Chair

A Real-time Posture Monitoring System Towards Bad Posture Detection

Instrumented Office Chair With Low-Cost Plastic Optical Fiber Sensors for Posture Control and Work Conditions Optimization

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