Eric Monacelli

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In this work, a pilot study of on-line automatic detection of human activity in home using wavelet and hidden Markov models Scilab toolkits was carried out. The collected raw data are provided by a biaxial accelerometer ADXL202E attached to the person. Several activities were simulated by the researchers (walking slowly , walking quickly, sitting(More)
IEEE 802.11p is the new standard for inter-vehicular communications (IVC) using the 5.9 GHz frequency band; it is planned to be widely deployed to enable cooperative systems. 802.11p uses and performance have been studied theoretically and in simulations over the past years. Unfortunately, many of these results have not been confirmed by on-tracks(More)
In this study, we propose a steering control method for a cycling wheelchair. The commercially available cycling wheelchair is a pedal-driven system that is similar to a bicycle, and patients with impairment of their lower extremities can move the wheelchair based on the pedaling force if they can slightly move their legs by themselves. The user can also(More)
In this study, we propose a cycling wheelchair that assists the movement of patients with impairment of lower extremities. The wheelchair is a pedal-driven system, similar to a bicycle, moved by the pedaling force of the patient's legs. Although the lower extremities of patients are impaired, they can use both legs to smoothly rotate the pedal. However,(More)
The goal of this project is to develop an upper limb exoskeletal orthosis destinated to help disabled population to achieve arm movements. This orthosis is principally designed for people suffering from myopathy and muscle degeneration. Such patients cannot generate enough force to move alone their arm. This poster presents a new approach to control the(More)
Challenges for the next generation of Brain Computer Interfaces (BCI) are to mitigate the common sources of variability (electronic, electrical, biological) and to develop online and adaptive systems following the evolution of the subject's brain waves. Studying electroencephalographic (EEG) signals from their associated covariance matrices allows the(More)
Neural communication generates oscillations of electric potential in the extracellular medium. In feedback, these oscillations affect the electrochemical processes within the neurons, influencing the timing and the number of action potentials. It is unclear whether this influence should be considered only as noise or it has some functional role in neural(More)
This paper describes a visual interface that recognizes the command request of a person by inferring the intention to travel in a desired direction at a certain speed from the person’s head movements. A rotation and a vertical motion indicate the intent to change direction and speed respectively. The context for which this solution is intended is that of(More)