This paper describes the development of a Smart Sleeve control mechanism for Active Assisted Living. The Smart Sleeve is a physically worn sleeve that extends the user's control capability within his/her intelligent built-environment by enabling (1) direct actuation and/or (2) teleoperation via a virtual interface. With respect to the first, the user may point his/her sleeve-wearing arm towards a door or a window and actuate an opening or a shutting; or towards a light and effect its turning on and off as well as regulating its intensity; or even towards a particular region to initiate ventilation of it. With respect to the second, the user may engage actuations in systems beyond his/her field of vision by interacting with a virtual representation of the intelligent built-environment projected on any screen or surface. For example, the user is able to shut the kitchen's door from his/her bedroom by extending the Smart Sleeve towards the door of a virtual representation of the kitchen projected (via a standard projector and/or television monitor) on the bedroom's wall. In both cases, the Smart Sleeve recognizes the object which the user wishes to engage withwhether in the real or the virtual worlds-(a) by detecting the orientation of the extended arm via an Accelerometer / Gyroscope / Magnetometer sensor; and (b) by detecting a specific forearm muscle contraction via Electromyography caused by the closing and opening of the fist, which serves to select the object. Once the object is identified and selected with said muscle contraction, subsequent arm gestures effect a variety of possible actuations for a given object (e.g., a window may be opened / shut or dragged to differing degrees or aperture; a light's intensity may be increased or decreased, etc.). In cases of ambiguous selections, the user my use voicecommands to explicitly identify the desired object of selection. Furthermore, due to this voice-based recognition mechanism, which recognizes both spoken commands as well the identity of the speakers, different rights to actuation may be assigned to different users. The Smart Sleeve is yet another mechanism integrated into an on-going development of a highly intuitive Active and Assisted Living implementation and its features, ones explicitly designed to enhance user-experience as well as to promote user well-being via intuitive interactions between human and non-human agents within the intelligent builtenvironment.
Microtomography is successfully used in the odontological evaluation and treatments, as it´s capable to analyze the bone tissue and any possible damage in its root canal caused by a surgical intervention. In this study, the microCT was used to analyze the images by using different parameters in the acquisition process, as two matrix sizes: 1120x1120 pixels and 2240x2240 pixels. After the reconstruction, the volume of the root canal was analyzed, as well as the quantification of a remaining tooth closure material. The results showed that the detector array 1120X1120 was able to capture values close to those of the 2240x2240 matrix for the volume of root canal and for the residual material after treatment. Remaining tooth closure material correspond an average of 0.95 mm³ for 1120x1120 pixels, while the corresponding volume for 2240x2240 pixels was 0.90 mm³. Results for root canal volume average was 10.32 mm³ for 1120x1120 pixels, while for 2240x2240 pixels was 10.22 mm³. In this way, the difference of the detected volume between the two matrices is of 5.47% for the residual material and 0.93% for root canal volume. In a qualitative analyze, the 2240x2240 matrix allows the identification of a greater amount of details. However, it was possible to verify that depending on the application and the region of interest studied the smaller matrix can offer reliable results and a shorter processing time.
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