System for Posture Evaluation and Correction - Development of a Second Prototype for an Intelligent Chair

Hugo Pereira, Leonardo Martins, Rui Almeida, Bruno Ribeiro, Claudia Quaresma, Adelaide Ferreira, Pedro Vieira

Abstract

The sitting position has become one of the most common postures in developed countries. However, assuming a poor sitting posture leads to several health problems, namely back, shoulder and neck pain. In a previous work, an intelligent chair was developed and was shown to classify and correct the seating position. This work describes improvements on this intelligent chair prototype culminating with the development of a new prototype. The improvements of this new prototype are presented, resulting in new studies for posture identification. Pressure maps for 12 sitting postures were gathered in order to automatically detect user’s posture through a neural network algorithm, obtaining an overall posture classification of around 81%.

References

  1. Andreoni, G. et al., 2002. Method for the analysis of posture and interface pressure of car drivers. Applied Ergonomics, 33, pp.511-522.
  2. Blangsted, A.K., Hansen, K. & Jensen, C., 2004. Validation of a commercial software package for quantification of computer use. International Journal of Industrial Ergonomics, 34(3), pp.237-241.
  3. Chau, J.Y. et al., 2010. Are workplace interventions to reduce sitting effective?? A systematic review. Preventive Medicine, 51(5), pp.352-356.
  4. Daian, I. et al., 2007. Sensitive Chair?: A Force Sensing Chair with Multimodal Real-Time Feedback via Agent. In ECCE 7807 Proceedings of the 14th European conference on Cognitive ergonomics: invent! explore! pp. 163-166.
  5. Forlizzi, J. et al., 2005. The SenseChair?: The lounge chair as an intelligent assistive device for elders. In DUX 7805 Proceedings of the 2005 conference on Designing for User eXperience. p. Article No. 31.
  6. Graf, M., Guggenbuhl, U. & Krueger, H., 1995. An assessment of seated activity and postures at five workplaces. International Journal of Industrial Ergonomics, 15(2), pp.81-90.
  7. Hartvigsen, J. et al., 2000. Is sitting-while-at-work associated with low back pain? A systematic , critical literature review. Scand J Public Health, 28(3), pp.230-239.
  8. Lucena, R. et al., 2012. INTELLIGENT CHAIR SENSOR-ACTUATOR - A Novel Sensor Type for Seated Posture Detection and Correction. In Proceedings of the International Conference on Biomedical Electronics and Devices. SciTePress - Science and and Technology Publications, pp. 333- 336.
  9. Maria, A., Katia, L.Æ. & Hayley, M.B.Æ., 2007. Association between sitting and occupational LBP. , pp.283-298.
  10. Martins, L. et al., 2014. Intelligent Chair Sensor: Classification and Correction of Sitting Posture. International Journal of System Dynamics Applications, 3(2), pp.65-80.
  11. Mutlu, B. et al., 2007. Robust , Low-cost , Non-intrusive Sensing and Recognition of Seated Postures. , 4(1).
  12. Pynt, J., Higgs, J. & Mackey, M., 2001. Seeking the optimal posture of the seated lumbar spine. Physiotherapy Theory and Practice, 17(1), pp.5-21.
  13. Street, A., Automated Posture Analysis for detecting Learner 78 s Interest Level Selene Mota and Rosalind W . Picard Cambridge , MA 02139 , USA Abstract. , pp.1-6.
  14. Tan, H.Z. et al., 2001. A Sensing Chair Using Pressure Distribution Sensors. IEEE/ASME TRANSACTIONS ON MECHATRONICS, 6(3), pp.261-268.
  15. Vergara, M. & Page, D., 2000. System to measure the use of the backrest in sitting-posture o $ ce tasks. , 31, pp.247-254.
  16. Waters, T.R., 2004. National efforts to identify research issues related to prevention of work-related musculoskeletal disorders. Journal of electromyography and kinesiology, 14(1), pp.7-12.
  17. Zheng, Y. & Morrell, J., 2010. A Vibrotactile Feedback Approach to Posture Guidance. In IEEE Haptics Symposium. pp. 351-358.
  18. Zhu, M., Mart, A.M. & Tan, H.Z., 2003. Template-based Recognition of Static Sitting Postures. In Proceedings of The Workshop on Computer Vision and Pattern Recognition for Human Computer Interaction, held at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR03), IEEE Computer Society, Madison, Wisconsin. pp. 1-6.
Download


Paper Citation


in Harvard Style

Pereira H., Martins L., Almeida R., Ribeiro B., Quaresma C., Ferreira A. and Vieira P. (2015). System for Posture Evaluation and Correction - Development of a Second Prototype for an Intelligent Chair . In Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2015) ISBN 978-989-758-071-0, pages 204-209. DOI: 10.5220/0005286002040209


in Bibtex Style

@conference{biodevices15,
author={Hugo Pereira and Leonardo Martins and Rui Almeida and Bruno Ribeiro and Claudia Quaresma and Adelaide Ferreira and Pedro Vieira},
title={System for Posture Evaluation and Correction - Development of a Second Prototype for an Intelligent Chair},
booktitle={Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2015)},
year={2015},
pages={204-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005286002040209},
isbn={978-989-758-071-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Biomedical Electronics and Devices - Volume 1: BIODEVICES, (BIOSTEC 2015)
TI - System for Posture Evaluation and Correction - Development of a Second Prototype for an Intelligent Chair
SN - 978-989-758-071-0
AU - Pereira H.
AU - Martins L.
AU - Almeida R.
AU - Ribeiro B.
AU - Quaresma C.
AU - Ferreira A.
AU - Vieira P.
PY - 2015
SP - 204
EP - 209
DO - 10.5220/0005286002040209