The present invention relates to a computer-implemented system and method for preventing users from bending their necks too far forward or past thirty degrees away from vertical during viewing of a handheld electronic device. The system uses a computer-implemented application installed in the device that determines flexion of the user's neck and compares with a threshold to determine a ‘tech neck’ condition. The application generates an alert displayed on the screen of the device to indicate the ‘tech neck’ condition and further, can pause or hang the display when the ‘tech neck’ condition is continued to be determined. The system and method assist in preventing injuries, strains and disabilities to both children and adults that use electronic devices for extended periods of time.

In an example method, a mobile device receives sensor data obtained by one or more sensor over a time period. The one or more sensors are worn by a user. Further, the mobile device determines a context of the user based on the sensor data, and obtains a set of rules for processing the sensor data based on the context, where the set of rules is specific to the context. The mobile device determines at least one of a likelihood that the user has fallen or a likelihood that the user requires assistance based on the sensor data and the set of rules, and generates one or more notifications based on at least one of the likelihood that the user has fallen or the likelihood that the user requires assistance.

A personal area network that includes a wearable electronic device, a system and methods of using the personal area network that includes a wearable electronic device. The wearable electronic device can act as an aggregator of the data that is being acquired by the one or more sensors and from other devices that are within wireless signal range of the personal area network in order to send some or all of the data over a wireless low power wide area network to remote locations within a larger network for subsequent processing, user notification, analysis of location-determination, contact tracing or the like. Data may flow in a bidirectional manner between the wearable electronic device and at least some of the other devices within the personal area network. In one form, the aggregated data may be used to control access to a hazard-prone environment in order to reduce the likelihood of exposure of a service technician to unsafe conditions within such environment. In one form, a communication network formed by the wearable electronic device is used with the hazard-prone environment in order to control access, while in another to control a lockout/tagout procedure.

Novel methods and apparatus regarding electronic eyewear are disclosed. Different embodiments can be applicable for seniors. One embodiment includes an eyewear that can charge when placed in an eyewear case. A user can access a live operator by tapping a button at the eyewear. The live operator can connect the user to a person. The eyewear can detect falls. In another embodiment, the eyewear with a digital assistant can be voice activated, and can provide assistance via the digital assistant. In yet another embodiment, the eyewear includes a position identifying system to identify a position of the eyewear. In one embodiment, the eyewear could wirelessly interact with a device coupled to an apparatus in the vicinity of the eyewear.

A system, apparatus, and method to identify incentives in multi-party interactions where such incentives are represented by specification value pairs and through the use of game theory, machine leaning, pattern identification and recognition and/or digital twins in any arrangement, misalignment of such specification value pairs may be identified and responded to in manner that can avoid and/or mitigate the impact of such misalignments on the interactions of those parties, including in pursuit of the reduction of fraud or other undesirable behaviors within at least one system.

It is provided a wearable device for determining when a user has fallen down. The wearable device comprises: a first biometric sensor for obtaining first biometric data of the user, wherein the first biometric sensor is a first accelerometer configured to measure acceleration of a part of a first limb of the user; a second biometric sensor for obtaining second biometric data of the user comprising a finger pressure parameter; and a third biometric sensor for obtaining third biometric data, the third biometric sensor being a second accelerometer configured to measure acceleration of a body part of the user being distinct from the first limb. The wearable device is configured to determine an identity of the user is based on the first biometric data, the second biometric data and the third biometric data, the identity being used to control access to a physical space, and to determine when the user has fallen down.

An apparatus having a support structure, including two nasal flow passages aligned with one another and with respect to a nasal respiratory flow direction, and an oral flow passage disposed transverse to the two nasal flow passages, along an oral respiratory flow direction, the nasal flow passages and oral flow passages having thermistors to monitor a patient's respiration, and the apparatus having a thermistor for monitoring ambient conditions and an accelerometer for monitoring movement of the apparatus. The apparatus also detecting and distinguishing between oral and individual nasal air flows, and integration of the apparatus and monitored data with a network.

Disclosed herein is a device comprising a user interface. The device is configured for facilitating correcting of a posture of a user based on an interaction between the user and the device through the user interface. Further, the device comprises at least one sensor configured for generating sensor data based on a spatial attribute of the device in relation to the user. Further, the device comprises a processing device configured for comparing the sensor data based on at least one predetermined criterion of the spatial attribute and generating a command based on the comparing of the sensor data. Further, the device comprises a storage device configured for storing the at least one predetermined criterion. Further, the device comprises an output indication device configured for generating at least one indication based on the command.

A method, system, apparatus, and/or device that may include: a first sensor operable to take a first physiological measurement; a second sensor operable to take a second physiological measurement; and a processing device operatively coupled to the first sensor and the second sensor. The processing device may be operable to: receive a first measurement data for the first physiological measurement; receive a second measurement data for the second physiological measurement; generate an event data set based on the first measurement data with the second measurement data; determine an event occurred based on the event data set; determine a type of the event; and in response to the event being a safety event: determine a type of the safety event; identify a risk level of the safety event; and in response to the risk level exceeding a threshold level, notify a second device of the safety event.

In one aspect of the disclosed implementations, a device includes one or more motion sensors for sensing motion of the device and providing activity data indicative of the sensed motion. The device also includes one or more processors for monitoring the activity data, and receiving or generating annotation data for annotating the activity data with one or more markers or indicators to define one or more characteristics of an activity session. The device also includes one or more feedback devices for providing feedback, a notice, or an indication to a user based on the monitoring. The device further includes a portable housing that encloses at least portions of the motion sensors, the processors and the feedback devices.