Papers by Elisabetta Farella
EdItor'S Intro throughout the year, IEEE Pervasive Computing receives numerous high-quality ... more EdItor'S Intro throughout the year, IEEE Pervasive Computing receives numerous high-quality submissions. All of these submissions are peer-reviewed through the diligent efforts of our volunteers. our reviewers not only help identify the best of our submissions but also provide detailed recommendations to help authors improve their manuscripts, whether or not the submission is eventually accepted. Peer review is a demanding process, and I would like to publicly express our gratitude to our reviewers for their gracious efforts throughout ...
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Journal of the Optical Society of America. A, Optics, image science, and vision, Jun 1, 2016
Embedded vision systems are smart energy-efficient devices that capture and process a visual sign... more Embedded vision systems are smart energy-efficient devices that capture and process a visual signal in order to extract high-level information about the surrounding observed world. Thanks to these capabilities, embedded vision systems attract more and more interest from research and industry. In this work, we present a novel low-power optical embedded system tailored to detect the human skin under various illuminant conditions. We employ the presented sensor as a smart switch to activate one or more appliances connected to it. The system is composed of an always-on low-power RGB color sensor, a proximity sensor, and an energy-efficient microcontroller (MCU). The architecture of the color sensor allows a hardware preprocessing of the RGB signal, which is converted into the rg space directly on chip reducing the power consumption. The rg signal is delivered to the MCU, where it is classified as skin or non-skin. Each time the signal is classified as skin, the proximity sensor is activ...
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2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
Wearable systems capable to capture vital signs allow the development of advanced medical applica... more Wearable systems capable to capture vital signs allow the development of advanced medical applications. One notable example is the use of surface electromyography (EMG) to gather muscle activation potentials, in principle an easy input for prosthesis control. However, the acquisition of such signals is affected by high variability and ground loop problems. Moreover, the input impedance influenced in time by motion and perspiration determines an offset, which can be orders of magnitude higher than the signal of interest. We propose a wearable device equipped with a digitally controlled Analog Front End (AFE) for biopotentials acquisition with zero-offset. The proposed AFE solution has an internal Digital to Analog Converter (DAC) used to adjust independently the reference of each channel removing any DC offset. The analog integrated circuit is coupled with a microcontroller, which periodically estimates the offset and implements a closed loop feedback on the analog part. The proposed approach was tested on EMG signals acquired from 4 subjects while performing different activities and shows that the system correctly acquires signals with no DC offset.
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Proceedings of the 2015 workshop on Wearable Systems and Applications - WearSys '15, 2015
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Proceedings of the ACM Symposium on Applied Perception - SAP '13, 2013
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Personal and Ubiquitous Computing, 2012
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ABSTRACT
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Procedia Engineering, 2015
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Procedia Engineering, 2015
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2015 IEEE International Conference on Industrial Technology (ICIT), 2015
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2012 American Control Conference (ACC), 2012
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Sensors, 2015
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Papers by Elisabetta Farella
that are tiny, low-power, wearable and hence suitable for bio-monitoring. This case study
proposes a short overview of possible solutions and uses of an inertial-based wireless sensor
node called WiMoCA, (Farellaet al.2005), both for use alone or in a body area network to
track gestures and movements for different purposes. Thanks to the flexibility of WiMoCA
architecture, it was possible to implement a different node along with the ones known as 3dID
glove nodes, dedicated to hand movement tracking. The general scenario is one of ambient
intelligence where gestures and movements can be used as natural interfaces for humanmachine interaction. Moreover, movement, posture and gait tracking may be the keys to
understanding user behaviour and thus enabling seamless provision, in a smart environment,
of context-aware services such as domotic applications and remote medical monitoring.