The heart rate monitor disclosed herein removes a step rate component from a measured heart rate by using one or more filtering techniques when the step rate is close to the heart rate. In general, a difference between the step rate and the heart rate is determined, and the step rate is filtered from the heart rate based on a function of the difference.

A system includes a minimally intrusive display system (MIDS) configured to be disposed on an eyewear. The MIDS includes a display system and a sensor system configured to provide for a sensor data. The MIDS further includes a processor configured to process the sensor data to derive an activity metric. The processor is further configured to display, via the display system, the activity metric, wherein the display system is disposed in the eyewear so that the activity metric is only viewed when a user of the eyewear turns the user's pupil towards the display system at angle a from a forward direction.

An example disclosed method of receiving first blink data from a first tag, the first tag carried by a wearable location device associated with a monitored individual having a restricted region; determining tag location data based on the first blink data, the tag location data indicative of the monitored individual locations of the monitored individuals; determining if the monitored individual location is within the restricted region; and when the monitored individual location is within the restricted region: identifying a second tag associated with a security person in proximity to the monitored individual location; alerting the security personnel via the second tag as to the monitored individual being located in the restricted region.

A portable shield made for individuals who practice boxing, martial arts, or any combat sport. The portable shield comprises a central striking area, a resilient neck-like striking area, a head-like striking area that are suitable for kicking and/or punching. The portable shield also comprises holding arms for steering the shield and a spring within the resilient neck-like striking area for allowing movement of the head-like striking area when it is stricken by a user/athlete. The head-like striking area, the resilient neck-like striking area and the central striking area are covered with padding material to prevent injuring the user/athlete when kicking and/or punching.

User activity including both athletic activity (e.g., running, walking, etc.) and non-athletic activity (shopping, reading articles, etc.) may be monitored and tracked by an athletic monitoring and tracking device and service. The user activity may be used to award a user with an amount of virtual currency to encourage the user to continue various activities. In one example, users may use the virtual currency to purchase or otherwise acquire various products, services, discounts and the like. A user may track an amount currency earned and/or needed relative to an amount required to acquire a desired product or service. Additionally or alternatively, a visual appearance of a user device (e.g., a watch or athletic activity band) may change based on the user's activity level, an amount of virtual currency earned and the like.

A therapy device may include one or more sensors for measuring metrics. The measured metrics may include at least one of heart rate, range of motion, muscular activity, blood pressure, temperature, sweat or respiration of a patient that correspond to an exercise. The therapy device may include a communication component to provide the measurements from the one or more sensors to a computing device. The communication component may receive feedback from the computing device based on a comparison of the measured metrics from the one or more sensors to a set of target metrics associated with the exercise. The therapy device may include one or more lights to provide visual feedback associated with the exercise based on the received feedback from the computing device.

The present disclosure is directed to a system for sensor-based objective determination. In general, sensor data may be used to render objective determinations that were not previously possible due to the unavoidable subjectivity of human-based officiating systems. For example, at least one device may be configured to make objective determinations during the course of a sporting event. Data collection circuitry may receive data from sensor devices coupled to players, equipment, playing surfaces, etc. Data analysis circuitry may categorize the data and input the data into a model to determine if an infraction occurred. For example, categorization may involve determining a type of infraction that may have occurred based on the sensor data. The model may then be selected based on the type of infraction, the model being developed utilizing prior sensor data, rules for the sporting event, etc. Output circuitry may generate a notification based on the infraction determination.

An apparatus a method for determining stroke volume by bioimpedance from a person having two or more spaced apart alternating current flow electrodes positionable on a person and two or more spaced apart voltage sensing electrodes positionable on the person and between the alternating current flow electrodes. A constant magnitude alternating current source is electrically connectable to the alternating current flow electrodes. A voltmeter is electrically connectable to the voltage sensing electrodes and configured to generate a voltage signal Z from a voltage sensed by the voltage sensing electrodes. A processing unit is electrically connectable with the voltmeter and configured to determine a stroke volume (SV) using the voltage signal Z and at least one of six equations.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

A method, apparatus, and a computer program for monitoring a fitness exercise are described. A plurality of heart-rate variability values and a plurality of exertion parameter values are measured during an exercise measured. The heart rate variability values correlate with the exertion parameter values through a human physiological mechanism, and the exertion parameter values characterize the physical exertion of the exercise. A mathematical correspondence is then constructed from the plurality of measured heart rate variability values and associated exertion parameter values. The mathematical correspondence describes correlation between the heart rate variability values and the exertion parameter values and the user's physiological state during the exercise. Then, the physical exertion of the exercise is monitored by applying the mathematical correspondence.