Marco Benocci

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In this paper we describe a wireless wearable system to monitor gait, based on a customized pair of commercial insoles able to collect ground reaction forces by use of 24 embedded cells for each foot. Each insole was combined with a small form factor, low-power Inertial Measurement Unit (IMU) and enabled to communicate via Bluetooth with a base station. We(More)
This paper reports the characterization and test of an embedded implementation of the k-Nearest Neighbor (kNN) classifier in a resource constrained device applied to a seat to capture user postures and combine them with contextual information about the user. The embedded platform is a wearable multi-sensor device based on the 32 bit ARM Cortex M3(More)
Daily life activities such as working and shopping may cause people to carry overloaded bags, frequently borne in an incorrect way (e.g. only on one shoulder, asymmetrically worn). When these activities alter the gait, back pain incidents can occur. Critical conditions can be monitored taking advantage from a wearable assistant, extracting contextual(More)
Wireless Body-area Sensor Networks (WBSN) are a key component of e-Health solutions. Many different physiological parameters can be monitored and collected continuously by wearable wireless sensors with high accuracy, low power consumption and limited cost. In this work we focus on WBSN for real-time biofeedback applications. In this domain the real-time(More)
The present study describes the results regarding the preliminary validation of a system for rehabilitation of balance control that integrates the most recent technology advances with the latest findings about motor control and rehabilitation-engineering. The biofeedback system is based on a palmtop computer and a body sensor network, with a modular(More)
BACKGROUND. Technology advances in wireless communications, miniaturized sensors and low power design have open new prospective for relevant biomedical applications, in particular when unobtrusiveness and ubiquitous availability are critical requirements, as in daily-life monitoring and movement tracking. In the field of human motion tracking, wearable(More)
INTRODUCTION: This paper discusses the possibility to obtain reliable pervasive information at home from a network of localizing sensors allowing following the different activity-stations at which a dependent person can be detected. Since 12 years ([1-3]), numerous experiments have been achieved for monitoring activity patterns and trends of dependent(More)