Abstract:
Embodiments of a computer-implemented method for monitoring a physical activity of a user are disclosed. The method includes receiving position or orientation data of a portable computing device; receiving an indication of an input device being operated by the user and a video captured by an imaging unit, the input device, and the imaging unit being operationally coupled to a stationary computing device. The portable computing device, the input device and the imaging unit are triggered by a data aggregator module based on a predefined sequence. The method also includes determining an activity pattern data of the user over a predefined time interval based on the position or orientation data, the received indication, and the video including an image of the user; and correlating the determined activity pattern data with health data of the user to monitor the physical activity of the user.
Abstract:
A method and a system are provided for monitoring a physiological parameter of a user. The method comprises monitoring an operation performed on one or more input devices associated with an electronic device and one or more applications being accessed on the electronic device using one or more first sensors for a pre-defined time frame. The method utilizes one or more processors to identify a current time instant based on the monitoring of the operation. The one or more processors further determine whether the current time instant may correspond to an opportune time instant by utilizing a classifier. In an embodiment, the physiological parameter of the user may be monitored at the current time instant when the current time instant corresponds to the opportune time instant.
Abstract:
Methods and systems for determining cellular signal strength information. The method includes receiving a location of interest, for which said cellular signal strength information is to be determined, from a customer-computing device. Thereafter, a crowdsourcing task corresponding to said location of interest is generated, wherein said crowdsourcing task comprises at least an instruction for a movement of a mobile device in said location of interest. The method further includes receiving at least one or more received signal strength indication (RSSI) values for said location of interest during said movement, wherein said received one or more RSSI values are utilizable to alert a user of a mobile device for a low RSSI value in said location of interest.
Abstract:
A processor of a handheld apparatus receives orientation signals from an orientation sensor of the handheld apparatus. The orientation signals indicate the direction that a camera of the handheld apparatus is aimed. The processor can also receive touch signals from a touch sensor of the handheld apparatus. The touch signals can indicate that the handheld apparatus is contacting a user (e.g., is being held by the user). The processor controls the camera to automatically obtain video based on, for example, the orientation signals indicating that the direction that the camera is aimed is within a previously established acceptable orientation range. The processor automatically recognizes items within the video to identify a face within the video, and automatically analyzes changes of the face within the video over time to identify the heart rate, respiration rate, emotional state, stress level, etc., exhibited by the face within the video.