Recent technological advances in integrated circuits, wireless communications, and physiological sensing have boosted the development of miniaturized, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated to form a wireless body area network (WBAN), a wireless sensor network whose devices, called motes, are positioned on the body of a person to monitor biometric parameters and vital signs. To this extent, the latest advances in mircoelectro mechanical systems (MEMS) technology have opened up the opportunity to realize miniaturized accelerometers, a sensing element that measures acceleration. The aim of the presented work is to showcase an integrated system to monitor execution of fitness and rehabilitation exercises and to provide a feedback to the user in order to correct errors and avoid hurts. The focus of our work is to analyze a simple fitness exercise like biceps curl by using a network of wireless sensors equipped with two-axes accelerometers. The sensed data from the acceleromenters is delivered to a PC which runs a graphical interface and a movement analyzer which returns in real-time the "goodness" of the performed exercise. Moreover, the analyzer also generates a more accurate analysis of the exercise which is returned to the user upon completion of the movement.

The Virtual Trainer: Supervising Movements Through a Wearable Wireless Sensor Network

MELZI, STEFANO;CESANA, MATTEO
2009

Abstract

Recent technological advances in integrated circuits, wireless communications, and physiological sensing have boosted the development of miniaturized, lightweight, ultra-low power, intelligent monitoring devices. A number of these devices can be integrated to form a wireless body area network (WBAN), a wireless sensor network whose devices, called motes, are positioned on the body of a person to monitor biometric parameters and vital signs. To this extent, the latest advances in mircoelectro mechanical systems (MEMS) technology have opened up the opportunity to realize miniaturized accelerometers, a sensing element that measures acceleration. The aim of the presented work is to showcase an integrated system to monitor execution of fitness and rehabilitation exercises and to provide a feedback to the user in order to correct errors and avoid hurts. The focus of our work is to analyze a simple fitness exercise like biceps curl by using a network of wireless sensors equipped with two-axes accelerometers. The sensed data from the acceleromenters is delivered to a PC which runs a graphical interface and a movement analyzer which returns in real-time the "goodness" of the performed exercise. Moreover, the analyzer also generates a more accurate analysis of the exercise which is returned to the user upon completion of the movement.
proc. of 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops, 2009. SECON Workshops '09.
9781424439386
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/561190
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