Abstract: A method for detecting cardiac arrhythmia based on a photoplethysmographic (PPG) signal is provided. The method includes: receiving a PPG signal and a motion signal corresponding to a motion made by a user; extracting PPG signal segments and motion signal segments corresponding to a time period from the PPG signal and the motion signal, respectively, at every time period; filtering out motion artifact noise in the PPG signal segments according to the PPG signal segments and the motion signal segments, and converting the PPG signal segments and the motion signal segments into PPG spectrum diagrams and motion spectrum diagrams, respectively; obtaining an estimated heart rate according to the PPG spectrum diagrams and the motion spectrum diagrams; and determining whether cardiac arrhythmia is present based on the filtered PPG signal segments and the estimated heart rate.

Abstract: Technologies for monitoring a health-risk condition of a user include a virtual reality compute device having one or more near infrared (NIR) sensors. The virtual reality compute device presents a virtual reality (VR) presentation to the user. The virtual reality compute device produces sensor data through the one or more NIR sensors that is indicative of a heart rate of the user and a blood pressure of the user while the VR presentation is presented to the user. The virtual reality compute device determines whether the user is in a health-risk condition based on a comparison of the heart rate of the user to a heart rate safety threshold and a comparison of the blood pressure of the user to a blood pressure safety threshold. The virtual reality compute device performs a health-risk condition response in response to a determination that the user is in the health-risk condition.

Abstract: Methods and apparatus to implement always-on context sensor hubs for processing multiple different types of data inputs are disclosed. An examples apparatus includes a first processor core to implement a host controller, and a second processor core to implement an offload engine. The host controller includes first logic to process sensor data associated with an electronic device when the electronic device is in a low power mode. The host controller is to offload a computational task associated with the sensor data to the offload engine. The offload engine includes second logic to execute the computational task.

Abstract: Particular embodiments described herein provide for an electronic device that includes a first housing, where the first housing includes at least one first housing accelerometer and at least one first housing gyroscope, a second housing, where the second housing includes at least one second housing accelerometer and at least one second housing gyroscope, and a hinge. The hinge rotatably couples the first housing to the second housing, where a hinge angle is determined using data from the first housing accelerometer, the second housing accelerometer, the first housing gyroscope, and the second housing gyroscope if the electronic device is not in a portrait orientation where the hinge is vertical to a ground or not in motion and is determined using data from the first housing gyroscope and the second housing gyroscope if the electronic device is in portrait orientation or is in motion.

Abstract: A method, an apparatus, and a system are for evaluating code design quality. The method for evaluating code design quality includes: determining, based upon a result from static scanning of code, a probability of the presence of an error-prone pattern in the code; inputting the probability into an artificial neural network, and determining, based upon the artificial neural network, a prediction result for whether the code violates a preset design rule and for a quantized degree to which the design rule is violated; and based upon the prediction result, evaluating the design quality of the code. The present method is able to improve the accuracy of code design quality evaluation. By detecting a presence of an error-prone pattern in the code, whether or not a key design rule has been violated in a design process and a quantized degree to which the key design rule is violated are predicted.

Abstract: Technologies for determining a user's location include a mobile computing device to determine, based on sensed inertial characteristics of the device, a walking gait of a user. The walking gait is one of a first gait indicative of the user holding the g device to the user's side or a second gait indicative of the user swinging the device along the user's side. The device further detects that the user has taken a physical step based on the inertial characteristics and the determined walking gait of the user, and determines a raw directional heading of the device indicative of a direction of the physical step. The device determines an estimated location of the user based on the determined raw directional heading, an estimated step length, and the user's previous location.

Abstract: Geofence crossing-based control systems and techniques are described herein. For example, a geofence crossing control technique may include receiving a location signal indicative of a range of locations in which a mobile computing device is located; receiving a velocity signal indicative of a speed and direction of the mobile computing device; generating, for each of a plurality of candidate geofence crossing times, a performance indicator based on the location signal, the velocity signal, and a boundary of the geofence; selecting a geofence crossing time from the plurality of candidate geofence crossing times based on the performance indicators; and transmitting a control signal representative of the geofence crossing time. Other embodiments may be disclosed and/or claimed.

Abstract: A method for analyzing an electrocardiography (ECG) signal is provided. The ECG signal is measured through a sensor. One or more specified waveforms in the ECG signal are detected. Multiple ECG features from each specified waveform are captured. The ECG features are input into multiple candidate models to obtain multiple candidate scores. Each candidate score is compared with a standard value to obtain an ideal score among the candidate scores. One of the candidate models corresponding to the ideal score is selected as a risk prediction model to predict disease risk through the risk prediction model.

Abstract: An activity monitoring circuit enables power conservation for an activity monitoring system. The activity monitoring system includes a sensor device that generates activity data based on detected movement. An activity monitoring circuit receives the activity data as input from the sensor device, and processes the activity data. Based on the processing, the activity monitoring circuit signals the sensor device to change a duty cycle of its operation, by adjusting how long it is on and off. The activity monitoring circuit can include a sensor hub that determines an activity state indicated by the activity data and generates a prediction of stability of the determined activity state based on historical activity data. Based on activity state and stability, the sensor hub can determine a duty cycle for operation of the sensor device.

Abstract: Techniques are provided for unification of classifier models across device platforms of varying form factors and/or sensor calibrations. A methodology implementing the techniques according to an embodiment includes extracting classification features from data provided by sensors associated with a first device platform. The method also includes applying a feature mapping function to the extracted features. The feature mapping function is configured to transform the features such that the are suitable for use by a classifier model that is trained on data provided by sensors associated with a second device platform. The method further includes executing the classifier model on the transformed features to generate classifications, for example recognized activities associated with use of the first device. The feature mapping function is based on application of a statistical distribution distance minimization between a sampling of data provided by sensors of the first device and sensors of the second device.

Abstract: Systems, apparatuses and methods may provide for detecting one or more trigger condition on a mobile platform and activating an offline calibration of one or more sensors on the mobile platform in response to the one or more trigger conditions. Additionally, an operational profile of the one or more sensors may be updated based on the offline condition. In one example, the trigger conditions include one or more of a time condition, a temperature condition, a motion condition or a system event condition.

Abstract: A virtual reality headset system includes a vision correction module. The vision correction system can detect a degree of myopia or other visual ailment of a user of the VR system, and then adjust a vision correction lens to adjust for user myopia. An implementation of the vision correction module can adjust right and left lenses separately.

Abstract: Methods and apparatus to implement always-on context sensor hubs for processing multiple different types of data inputs are disclosed. An examples apparatus includes a first processor core to implement a host controller, and a second processor core to implement an offload engine. The host controller includes first logic to process sensor data associated with an electronic device when the electronic device is in a low power mode. The host controller is to offload a computational task associated with the sensor data to the offload engine. The offload engine includes second logic to execute the computational task.

Abstract: Systems and methods may provide for obtaining first sensor data associated with a gyroscope and obtaining second sensor data associated with a magnetometer. Additionally, the first sensor data, the second sensor data and an extended Kalman filter may be used to calibrate the magnetometer. In one example, a sampling rate of the magnetometer is increased before obtaining the second sensor data and the sampling rate of the magnetometer is decreased after calibration of the magnetometer.

Abstract: Techniques are disclosed for enabling an integrated sensor hub of a main computer to access a detachable peripheral device. In an embodiment, a system includes a main unit having a peripheral interface, an embedded controller, and a device controller. The peripheral interface is configured to be detachably coupled to a peripheral. The peripheral includes a control unit and an input/output device. The embedded controller is configured to communicate with the control unit of the peripheral via the peripheral interface while the peripheral is attached to the peripheral interface. The embedded controller includes at least one data register, and in some embodiments, a set of data registers, configured to store data relating to the peripheral and to the corresponding input/output device. The device controller is configured to read data from the data register(s) of the embedded controller, write data to the data register(s) of the embedded controller, or both.

Abstract: The present disclosure provides a heart-rhythm signal-processing method, including the following steps: obtain PPG signals; perform a labeling operation to determine whether inappropriate signal data exist in the PPG signals and label the inappropriate signal data; perform a first separation operation to remove the inappropriate signal data from the PPG signals and separate the PPG signals into continuous signal segments; find peak positions of the continuous signal segments; perform a second separation operation to separate the continuous signal segments into sub-signal segments according to the number of peaks required for interpretation; perform a feature-extraction operation to obtain feature values respectively corresponding to each of the sub-signal segments, wherein the feature values are relative to peak-to-peak intervals (PPI) of the sub-signal segments; perform a judgement operation to judge the feature values using a judgement model and determine whether the heart rhythm of the subject is belong to

Abstract: A sensor interface circuit enables signal reconstruction on data received from a sensor prior to sending the data to various sensor clients. Multiple sensor clients have different frequencies configured to receive sensor data. The sensor interface circuit performs signal reconstructions including data interpolation to generate interpolated data signal having frequencies corresponding to the different frequencies configured for the different sensor clients. Signal reconstruction can also include filtering the data. The sensor interface circuit sends the reconstructed data to the multiple clients in accordance with their different frequencies.

Abstract: Provided is an accurate, fast and long-term stable fused CRAP. The electrode includes a positioning anchor, a silicone catheter, a sensor compartment and a connecting wire. The method monitors physiological information such as blood PPG, blood oxygen saturation, temperature and impedance of blood in the right ventricular cavity, and monitors blood temperature information, which is also a slowly changing metabolic rate, to provide cross-comparison with blood oxygen saturation information, improving monitoring accuracy of blood oxygen saturation. The rapidly changing right ventricular apical impedance information is monitored to improve rapid response ability of CRAP. The LEDs driving current is dynamically adjusted by monitoring the internal temperature of the PPG sensor and the impedance change of the attached biological tissue, which indirectly reflects thickness change of the attached biological tissue, thereby delaying the failure time of the PPG sensor.

Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Abstract: In a method for protecting electronic data, a data processing system (20, 20A, 20B) uses (a) a master electrocardiogram (ECG) identifier (44) for an authorized user of the system and (b) a secret chip key (26) for the system to encrypt data in the system. Also, before allowing the encrypted data to be decrypted, the system collects an ECG reading for a current user of the system and uses (a) the collected ECG reading for the current user and (b) at least one predetermined ECG identifier (EID) vector for the authorized user to determine whether the current user is the authorized user. In response to determining that the current user is the authorized user, the system uses the master ECG identifier (44) for the authorized user and the secret chip key (26) for the system to decrypt the data.