Design and Implementation of a Body Posture Detection System

In this paper, we developed and validated a posture detection system based on two sensor modules and positioning sensors. This device acquires in real-time values recorded by the sensors and based on these values, after filtering and data processing using a series of calculation algorithms, archives information on postural position changes over a period. Also, the aim is to obtain additional positioning functions, for example a function for checking the body posture and the selfcorrection posture for diminishing the wrong posture, by default for strengthening the back muscles and achieving health benefits. These benefits and implicitly, the improvement of the health status, can be obtained through the use of body posture monitoring devices. The final product is portable non-invasive device, has a small size and relatively low weight, suitable for attachment to the human body, and is characterized by high accuracy.

[1]  Cristian Rotariu,et al.  E-health system for medical telesurveillance of patients with neurological dysfunctions , 2011, 2011 E-Health and Bioengineering Conference (EHB).

[2]  Costin Cepisca,et al.  Platform for bio-monitoring of vital parameters in critical infrastructures operation , 2015, 2015 7th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

[3]  Cristian Rotariu,et al.  Automatic analysis of the fetal heart rate variability and uterine contractions , 2014, 2014 International Conference and Exposition on Electrical and Power Engineering (EPE).

[4]  Constantin Rotaru,et al.  Numerical method for processing and analysing flying effects on pilots , 2014, 2014 10th International Conference on Communications (COMM).

[5]  Hugo Fuks,et al.  Wearable Computing: Accelerometers' Data Classification of Body Postures and Movements , 2012, SBIA.

[6]  Constantin Rotaru,et al.  A remote-controlled mobile platform for identifying indoor human in risk situations , 2015, 2015 E-Health and Bioengineering Conference (EHB).

[7]  C. Rotariu,et al.  Mental stress detection using heart rate variability and morphologic variability of EeG signals , 2012, 2012 International Conference and Exposition on Electrical and Power Engineering.

[8]  Hariton Costin,et al.  Combinatorial versus Priority Based Optimization in Resource Constrained Project Scheduling Problems by Nature Inspired Metaheuristics , 2019 .

[9]  Ioana-Raluca Adochiei,et al.  A WEB Platform for Rendring and Viewing MRI Volumes using Real-Time Raytracing Principles , 2019, 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE).

[10]  Teodor Lucian Grigorie,et al.  Inertial positioning precision improvement through sensors denoising by using wavelet functions tuned with DTF method , 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).

[11]  Jun-Young Lee,et al.  The Development of an IMU Integrated Clothes for Postural Monitoring Using Conductive Yarn and Interconnecting Technology , 2017, Sensors.

[12]  Edu Ioana-Raluca,et al.  Changed neuronal coupling in schizophrenia , 2013, 2013 E-Health and Bioengineering Conference (EHB).

[13]  Bogdan-Adrian Enache,et al.  Modelling the Discharge of a Lithium Iron Phosphate Battery at Low Temperatures , 2019, 2019 11th International Symposium on Advanced Topics in Electrical Engineering (ATEE).

[14]  Silvio Lorenzetti,et al.  The Spinal Curvature of Three Different Sitting Positions Analysed in an Open MRI Scanner , 2012, TheScientificWorldJournal.

[15]  Felix Adochiei,et al.  Comparative filtering methods for noisy ECG signals , 2011, 2011 E-Health and Bioengineering Conference (EHB).

[16]  H. Costin,et al.  Short-term Heart Rate Variability using wrist-worn pulse wave monitor compared to a Holter ECG , 2017, 2017 E-Health and Bioengineering Conference (EHB).

[17]  Cristian Barbu,et al.  Experimental Characterisation of Hyperelastic Materials for Use in a Passive-Adaptive Membrane on MAVs Wing , 2017 .