Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Using gait symmetry to virtually align a triaxial accelerometer during running and walking

During running and walking the human centre of mass experiences a symmetric acceleration along the mediolateral direction. This reported work shows how to exploit this knowledge to correct misalignments of the axes of a trunk-mounted accelerometer with respect to the body axes. After vertical alignment, based on the gravitational component of the signal, the technique computes the virtual rotation angle of the axes lying in the horizontal plane. The chosen angle minimises the autocorrelation of the signal along the mediolateral direction.

References

    1. 1)
      • 1. Wixted, A.J., Billing, D.C., James, D.A.: ‘Validation of trunk mounted inertial sensors for analysing running biomechanics under field conditions, using synchronously collected foot contact data’, Sports Eng., 2010, 4, pp. 207212 (doi: 10.1007/s12283-010-0043-2).
    2. 2)
      • 4. Moe-Nilssen, R.: ‘A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument’, Clin. Biomech., 1998, pp. 320327 (doi: 10.1016/S0268-0033(98)00089-8).
    3. 3)
      • 7. Abbate, S., Avvenuti, M., Bonatesta, F., Cola, G., Corsni, P., Vecchio, A.: ‘A smartphone-based fall detection system’, Perv. Mob. Comput., 2012, 8, (6), pp. 883899 (doi: 10.1016/j.pmcj.2012.08.003).
    4. 4)
      • 2. Mohan, P., Padmanabhan, V.N., Ramjee, R.: ‘Nericell: rich monitoring of road and traffic conditions using mobile smartphones’. SenSys '08, Proc. of 6th ACM Conf. on Embedded Network Sensor Systems, Raleigh, NC, USA, 2008, pp.323336.
    5. 5)
      • 3. Shepard, E.L.C., Wilson, R.P., Halsey, L.G., Quintana, F., Laich, A.G., Gleiss, A.C., Liebsch, N., Myers, A.E., Norman, B.: ‘Derivation of body motion via appropriate smoothing of acceleration data’, Aquatic Biol., 2008, 4, pp. 235241 (doi: 10.3354/ab00104).
    6. 6)
      • 5. Moe-Nilssen, R., Helbostad, J.L.: ‘Estimation of gait cycle characteristics by trunk accelerometry’, J. Biomech., 2004, 37, pp. 121126 (doi: 10.1016/S0021-9290(03)00233-1).
    7. 7)
      • 6. Abbate, S., Avvenuti, M., Light, J.: ‘MIMS: a minimally invasive monitoring sensor platform’, IEEE Sensors, 2012, 12, (3), pp. 677684 (doi: 10.1109/JSEN.2011.2149515).
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
      • Mohan, P., Padmanabhan, V.N., Ramjee, R.: `Nericell: rich monitoring of road and traffic conditions using mobile smartphones', SenSys '08, Proc. of 6th ACM Conf. on Embedded Network Sensor Systems, 2008, Raleigh, NC, USA, p. 323–336.
    13. 13)
    14. 14)
http://iet.metastore.ingenta.com/content/journals/10.1049/el.2012.3763
Loading

Related content

content/journals/10.1049/el.2012.3763
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address