Abstract:
The present invention provides methods and apparatus to protect user privacy while accessing information in public places, using both public and personal devices. This is achieved by employing a mechanism that prevents private information from being displayed on public devices. Instead, this type of information is made available only to a user's personal device(s) that the user carries and/or trusts. An example embodiment of the invention shows relevant parts of the information content, referred to also as information documents or simply documents, to multiple devices based on privacy level and user preferences. Embodiments of the present invention also provide personalized services based on privacy levels defined by users. These users can for example be customers of a retail store. The service provided is sometimes also based on user history of accessing information documents. It permits personalized information to be sent to a customer's personal device.
Abstract:
The present invention provides methods and apparatus to protect user privacy while accessing information in public places, using both public and personal devices. This is achieved by employing a mechanism that prevents private information from being displayed on public devices. Instead, this type of information is made available only to a user's personal device(s) that the user carries and/or trusts. An example embodiment of the invention shows relevant parts of the information content, referred to also as information documents or simply documents, to multiple devices based on privacy level and user preferences. Embodiments of the present invention also provide personalized services based on privacy levels defined by users. These users can for example be customers of a retail store. The service provided is sometimes also based on user history of accessing information documents. It permits personalized information to be sent to a customer's personal device.
Abstract:
A latent bio-signal prediction can be obtained from at least one bio-signal from a consumer grade health monitoring device is described. A user's bio-signal readings from a health monitoring device can be analyzed by a model trained with the health records of a plurality of individuals. The model can be further personalized to user based on the individual traits of the user. The model can analyze the bio-signal and generate a latent bio-signal prediction. A latent bio-signal prediction can be transmitted to an electronic device for a user or health professional to monitor.
Abstract:
The present invention provides methods and apparatus to protect user privacy while accessing information in public places, using both public and personal devices (109, 110, 111). This is achieved by employing a mechanism that prevents private information from being displayed on public devices (110). Instead, this type of information is made available only to a user's persona l devices(s) (109) that the user carries and/or trusts. An example embodiment of the invention shows relevant parts of the information content, referred to also as information documents or simply documents, to multiple devices based on privacy level and user preferences. Embodiments of the present invention also provide personalized services based on privacy levels defined by users. These users can for example be customers of a retail store. The service provided is sometimes also based on user history of accessing information documents. It permits personalized information to be sent to a customer's personal device.
Abstract:
Beschrieben wird eine Vorhersage für latente Biosignale, die aus mindestens einem Biosignal von einer verbraucherorientierten Gesundheitsüberwachungseinheit erhalten werden können. Die Biosignal-Messwerte eines Benutzers von einer Gesundheitsüberwachungseinheit können durch ein Modell analysiert werden, das mit den Gesundheitsdaten einer Mehrzahl von Personen geschult wird. Das Modell kann ferner für den Benutzer auf Grundlage der individuellen Merkmale des Benutzers personalisiert werden. Das Modell kann das Biosignal analysieren und eine Vorhersage für latente Biosignale generieren. Eine Vorhersage für latente Biosignale kann zu einer elektronischen Einheit für einen Benutzer oder Heilberufler zur Überwachung übertragen werden.