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Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition.
The feature works in part by projecting a grid of more than 30,000 infrared dots on the user's face in order to create a three-dimensional map for user recognition.
Microsoft is already doing much more with gesture control and user recognition with the Kinect on the Xbox One, and others are looking to make sure devices with embedded cameras and other sensors are more aware of the users who are interacting with them.
The project also involved contributions by Matchbox Mobile, who enabled auto user recognition.
The project also received support from Matchbox Mobile who provided, among other things, the ofxMSKinect, an openFrameworks add-on for the Kinect SDK that allows for auto user recognition.
We categorized four subthemes related to optimization in EHR implementation: (1) acknowledging optimization as a specific component of implementation; (2) supporting optimization of EHR use; (3) EHR user recognition of the value of optimization; and (4) the need to view optimization as an ongoing process.
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We have one of these in our TechCrunch office and the multi-user recognition makes for great air hockey games, but it gets more use as a coffee table than anything else.
The efficiency of the users' recognition is thus equal to η orig = 47.6/7.69 = 6.19 for original walk sequences and to η orig = 37.15/7.69 = 4.83 for synthesized walk sequences.
Good relationships with service users, recognition and sense of being valued have been considered to contribute in raising health workers' morale and hence improving their performance [ 50, 51].
Based on these results, a number of recommendations about facilitating service users' recognition of early signs and targeting potential accelerants of relapse are made.
Accordingly we have made a number of clinical recommendations about facilitating service users' recognition of early signs and targeting potential accelerants of relapse, as well as suggestions for future research.
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