Abstract
This article presents research focused on tracking manual tasks that are applied in cognitive rehabilitation so as to analyze the movements of patients who suffer from Apraxia and Action Disorganization Syndrome (AADS). This kind of patients find executing Activities of Daily Living (ADL) too difficult due to the loss of memory and capacity to carry out sequential tasks or the impossibility of associating different objects with their functions. This contribution is developed from the work of Universidad Politécnica de Madrid and Technical University of Munich in collaboration with The University of Birmingham. The Kinect™ for Windows© device is used for this purpose. The data collected is compared to an ultrasonic motion capture system. The results indicate a moderate to strong correlation between signals. They also verify that Kinect™ is very suitable and inexpensive. Moreover, it turns out to be a motion-capture system quite easy to implement for kinematics analysis in ADL.
Highlights
The study of human movement often focuses on kinematics, describing the movements of the body through space and time, but without reference to the forces involved [1,2]
In order to test the suitability of the KinectTM device as a motion capture system we collected data from a neurologically healthy 32 year-old female, and a 47 year-old female with apraxia
While the decomposition of an activity in component tasks is common across a range of disciplines, Human Factors employ a methodology called Hierarchical Task Analysis (HTA) [44]
Summary
The study of human movement often focuses on kinematics, describing the movements of the body through space and time, but without reference to the forces involved [1,2]. The study of human movements is applied to cerebrovascular diseases that affect the quality of life for individuals who suffer from such diseases. The problem of living with AADS is that individuals are often unable to remember partial or full activities of their daily living, or execute sequential actions. Many projects have been developed in order to assist the rehabilitation for this kind of patients and study the execution of manual ADL by analyzing body movements
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