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ThinkMind // SENSORDEVICES 2018, The Ninth International Conference on Sensor Device Technologies and Applications // View article sensordevices_2018_9_50_28021
Real-Time Gesture Classification for Monitoring Elderly Physical Activity Using a Wireless Wearable Device
 Authors:
Alexandre Calado
Pedro Leite
Filomena Soares
Paulo Novais
Pedro Arezes
Filipe Sousa
Joana Silva Keywords: Gesture Recognition; Activity Monitoring; SVM; Boccia Abstract:
Gestures are part of communication between humans, however, they can also have an important role to play for improving human-machine interaction. Moreover, gesture recognition can have relevant applications for activity monitoring in older adults. This paper proposes the use of the Pandlet (a wearable wireless device that features a 3-axis accelerometer, gyroscope and magnetometer) for the recognition of two distinct throwing movements performed in the Boccia game. The results from this paper will be inserted into the iBoccia framework, created with the aim of monitoring and promoting physical activity on the elderly by playing the game of Boccia. The recognition of throwing gestures shall allow a caregiver to follow the performance of the elder throughout the game and the force associated with each throw, which can be important for identifying muscular diseases. Furthermore, it can be used for the elders to interact with a user interface that displays the current game score. To achieve the goal proposed by this paper, a Support Vector Machine (SVM) was trained with data extracted from eight subjects regarding two types of throws used in the Boccia game and movements performed when the player is not playing. The trained model was afterwards implemented for real-time classification and tested on four subjects. Overall, the average test accuracy was of 75±8%. These results show that the model is able to successfully recognize different throwing gestures and encourages its use on the iBoccia framework. Pages: 164 to 168 Copyright: Copyright (c) IARIA, 2018 Publication date: September 16, 2018 Published in: conference ISSN: 2308-3514 ISBN: 978-1-61208-660-6 Location: Venice, Italy Dates: from September 16, 2018 to September 20, 2018
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