4 research outputs found

    Data underlying the project: Technology in Motion – Augmented Reality for Upper Extremity assessment (TIM-AR-UE)

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    Data was collected within the Technology in Motion project (protocol registered by CCMO as NL54281.058.15), aimed at developing innovative techniques to characterize motor function in patients with neurological disorders. Augmented reality (AR) systems with contactless tracking of the hand and upper body offer opportunities for objective quantification of motor (dys)function in a challenging, engaging and patient-tailored environment. We therefore explored the potential of AR for evaluating 1) speed and goal-directedness of movements within the individually determined interaction space; 2) adaptation of hand opening to objects of different sizes; and 3) obstacle avoidance in healthy individuals (N=10) and two highly prevalent neurological conditions (N=10 patients with Parkinson’s Disease [PD] and N=10 stroke patients). This dataset contains data from 10 PD patients, 10 stroke patients and 10 age- and sex-matched controls. For each participant we provide the raw data (recorded during the 3 AR games), consisting of i) LeapMotion data 3D-coordinates of hand ‘joints’ (e.g., hand palm and finger tips) at a sampling rate of 60 frames per second (obtained by means of Leap Motion sensor and Leap Motion Orion Beta software development kit [SDK]); ii) 3D-coordinates of body points (e.g., wrist, elbow and shoulder) at a sampling rate of 30 frames per second (obtained by means of KinectTM v2 sensor and Kinect for Windows SDK version 2.0); and iii) game-specific parameters (e.g. positions of virtual objects and timestamps of events). We additionally provide an SPSS file and a csv-file with general participant characteristics, disease-specific clinical characteristics, scores on user-experience questionnaires (individual items and total scores) and outcome parameters calculated from the raw data for each of the AR games (e.g. time per object, movement speed, success rate). A more detailed description can be found in the documentation and the associated publication

    Providing Information on the Spot: Using Augmented Reality for Situational Awareness in the Security Domain

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    For operational units in the security domain that work together in teams, it is important to quickly and adequately exchange context-related information to ensure well-working collaboration. Currently, most information exchange is based on oral communication. This paper reports on different scenarios from the security domain in which augmented reality (AR) techniques are used to support such information exchange. The scenarios have been designed with a User Centred Design approach, in order to make the scenarios as realistic as possible. To support these scenarios, an AR system has been developed and evaluated in two rounds. In the first round, the usability and feasibility of the AR support has been evaluated with experts from different operational units in the security domain. The second evaluation round then focussed on the effect of AR on collaboration and situational awareness within the expert teams. With regard to the usability and feasibility of AR, the evaluation shows that the scenarios are well defined and the AR system can successfully support information exchange in teams operating in the security domain. The second evaluation round showed that AR can especially improve the situational awareness of remote colleagues not physically present at a scene.Multi Actor SystemsTechnology, Policy and Managemen
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