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A robust Kalman algorithm to facilitate human-computer interaction for people with cerebral palsy, using a new interface based on inertial sensors.

Raya R, Rocon E, Gallego JA, Ceres R, Pons JL - Sensors (Basel) (2012)

Bottom Line: This characterization is used to design a filtering technique that reduces the effect of involuntary motion on person-computer interaction.The filter increases mouse pointer directivity and the target acquisition time is reduced by a factor of ten.The interface ENLAZA and the RKF enabled them to use the computer.

View Article: PubMed Central - PubMed

Affiliation: Bioengineering Group, CSIC, Arganda del Rey, Madrid 28500, Spain. rafael.raya@csic.es

ABSTRACT
This work aims to create an advanced human-computer interface called ENLAZA for people with cerebral palsy (CP). Although there are computer-access solutions for disabled people in general, there are few evidences from motor disabled community (e.g., CP) using these alternative interfaces. The proposed interface is based on inertial sensors in order to characterize involuntary motion in terms of time, frequency and range of motion. This characterization is used to design a filtering technique that reduces the effect of involuntary motion on person-computer interaction. This paper presents a robust Kalman filter (RKF) design to facilitate fine motor control based on the previous characterization. The filter increases mouse pointer directivity and the target acquisition time is reduced by a factor of ten. The interface is validated with CP users who were unable to control the computer using other interfaces. The interface ENLAZA and the RKF enabled them to use the computer.

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Related in: MedlinePlus

Kinematic descriptor of the improvement introduced by the adaptive filter (movement segmentation).
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f6-sensors-12-03049: Kinematic descriptor of the improvement introduced by the adaptive filter (movement segmentation).

Mentions: The filtering algorithms BBF, KF and RKF were applied offline to the previously captured data (Section 3). The performance was compared using a metric called segmentation [47]. Segmentation measures the decomposition of a complex motion into a sequence of simpler movements that are called sub-movements. It is based on extracting maximum distance points during the reaching task. By means of segmentation, overshoots and undershoots can be detected. This metric offers information on the motor performance of both healthy subjects and persons with CP. Figure 6 illustrates an example of segmentation.


A robust Kalman algorithm to facilitate human-computer interaction for people with cerebral palsy, using a new interface based on inertial sensors.

Raya R, Rocon E, Gallego JA, Ceres R, Pons JL - Sensors (Basel) (2012)

Kinematic descriptor of the improvement introduced by the adaptive filter (movement segmentation).
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3376565&req=5

f6-sensors-12-03049: Kinematic descriptor of the improvement introduced by the adaptive filter (movement segmentation).
Mentions: The filtering algorithms BBF, KF and RKF were applied offline to the previously captured data (Section 3). The performance was compared using a metric called segmentation [47]. Segmentation measures the decomposition of a complex motion into a sequence of simpler movements that are called sub-movements. It is based on extracting maximum distance points during the reaching task. By means of segmentation, overshoots and undershoots can be detected. This metric offers information on the motor performance of both healthy subjects and persons with CP. Figure 6 illustrates an example of segmentation.

Bottom Line: This characterization is used to design a filtering technique that reduces the effect of involuntary motion on person-computer interaction.The filter increases mouse pointer directivity and the target acquisition time is reduced by a factor of ten.The interface ENLAZA and the RKF enabled them to use the computer.

View Article: PubMed Central - PubMed

Affiliation: Bioengineering Group, CSIC, Arganda del Rey, Madrid 28500, Spain. rafael.raya@csic.es

ABSTRACT
This work aims to create an advanced human-computer interface called ENLAZA for people with cerebral palsy (CP). Although there are computer-access solutions for disabled people in general, there are few evidences from motor disabled community (e.g., CP) using these alternative interfaces. The proposed interface is based on inertial sensors in order to characterize involuntary motion in terms of time, frequency and range of motion. This characterization is used to design a filtering technique that reduces the effect of involuntary motion on person-computer interaction. This paper presents a robust Kalman filter (RKF) design to facilitate fine motor control based on the previous characterization. The filter increases mouse pointer directivity and the target acquisition time is reduced by a factor of ten. The interface is validated with CP users who were unable to control the computer using other interfaces. The interface ENLAZA and the RKF enabled them to use the computer.

Show MeSH
Related in: MedlinePlus