Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder
In this paper we focus on the human arm motion capture, which is motivated by the requirements in physical rehabilitation and training of stroke patients in the same way as monitoring of elderly person activities. The proposed methodology uses a data fusion of low-cost and low-weight MEMS sensors jo...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2013/586480 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832564348206186496 |
|---|---|
| author | B. B. Salmerón-Quiroz C. F. Mendez-Barrios J. F. Guerrero-Castellanos S. A. Rodriguez-Paredes G. Villegas-Medina |
| author_facet | B. B. Salmerón-Quiroz C. F. Mendez-Barrios J. F. Guerrero-Castellanos S. A. Rodriguez-Paredes G. Villegas-Medina |
| author_sort | B. B. Salmerón-Quiroz |
| collection | DOAJ |
| description | In this paper we focus on the human arm motion capture, which is motivated by the requirements in physical rehabilitation and training of stroke patients in the same way as monitoring of elderly person activities. The proposed methodology uses a data fusion of low-cost and low-weight MEMS sensors jointly to an a priori knowledge of the arm anatomy. The main goal is to estimate the arm position, the anatomical movements of the shoulder and its accelerations. We propose a discrete optimization based-approach which aims to search the optimal attitude ambiguity directly without decorrelation of ambiguity, and to computing the baseline vector consequently. The originality of this paper is to apply the discrete optimization to track the desired trajectory of a nonlinear system such as the Human Movement in the presence of uncertainties. The global asymptotic convergence of the nonlinear observer is guaranteed. Extensive tests of the presented methodology with real world data illustrate the effectiveness of the proposed procedure. |
| format | Article |
| id | doaj-art-9ba25b35dacd4951b6ca00f354b87b2c |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-9ba25b35dacd4951b6ca00f354b87b2c2025-02-03T01:11:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/586480586480Towards Human Capture Movement: Estimation of Anatomical Movements of the ShoulderB. B. Salmerón-Quiroz0C. F. Mendez-Barrios1J. F. Guerrero-Castellanos2S. A. Rodriguez-Paredes3G. Villegas-Medina4National Polytechnic Institute (IPN), SEPI ESIME Azcapotzalco, 02250 México, DF, MexicoFacultad de Ingeniería, Universidad Autónoma de San Luis Potosí—UASLP, 78290 San Luis Potosí, SLP, MexicoFacultad de Ciencias de la Electrónica, Benemérita Universidad Autónoma de Puebla—BUAP 72450 Puebla, PUE, MexicoNational Polytechnic Institute (IPN), SEPI ESIME Azcapotzalco, 02250 México, DF, MexicoNational Polytechnic Institute (IPN), SEPI ESIME Azcapotzalco, 02250 México, DF, MexicoIn this paper we focus on the human arm motion capture, which is motivated by the requirements in physical rehabilitation and training of stroke patients in the same way as monitoring of elderly person activities. The proposed methodology uses a data fusion of low-cost and low-weight MEMS sensors jointly to an a priori knowledge of the arm anatomy. The main goal is to estimate the arm position, the anatomical movements of the shoulder and its accelerations. We propose a discrete optimization based-approach which aims to search the optimal attitude ambiguity directly without decorrelation of ambiguity, and to computing the baseline vector consequently. The originality of this paper is to apply the discrete optimization to track the desired trajectory of a nonlinear system such as the Human Movement in the presence of uncertainties. The global asymptotic convergence of the nonlinear observer is guaranteed. Extensive tests of the presented methodology with real world data illustrate the effectiveness of the proposed procedure.http://dx.doi.org/10.1155/2013/586480 |
| spellingShingle | B. B. Salmerón-Quiroz C. F. Mendez-Barrios J. F. Guerrero-Castellanos S. A. Rodriguez-Paredes G. Villegas-Medina Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder Discrete Dynamics in Nature and Society |
| title | Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder |
| title_full | Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder |
| title_fullStr | Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder |
| title_full_unstemmed | Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder |
| title_short | Towards Human Capture Movement: Estimation of Anatomical Movements of the Shoulder |
| title_sort | towards human capture movement estimation of anatomical movements of the shoulder |
| url | http://dx.doi.org/10.1155/2013/586480 |
| work_keys_str_mv | AT bbsalmeronquiroz towardshumancapturemovementestimationofanatomicalmovementsoftheshoulder AT cfmendezbarrios towardshumancapturemovementestimationofanatomicalmovementsoftheshoulder AT jfguerrerocastellanos towardshumancapturemovementestimationofanatomicalmovementsoftheshoulder AT sarodriguezparedes towardshumancapturemovementestimationofanatomicalmovementsoftheshoulder AT gvillegasmedina towardshumancapturemovementestimationofanatomicalmovementsoftheshoulder |