A contact sensor and system for incorporation within clothing and other wearable items to monitor activity at a body surface. The sensor includes a contact membrane having a body surface contacting area and one or more base layers of knitted fabric. The base layer(s) is thicker over an area congruent with the body surface contacting area of the contact membrane. As a result, the contact membrane is urged into the forming of a raised outer surface for projection against a body surface.

Systems, methods, apparatuses, and computer program products for contact-free heart rate monitoring and/or measurement are provided. One method may include receiving video(s) that include visual frame(s) of individual s) performing exercises, detecting some exposed skin from the video(s), and performing motion compensation to generate color signals for the exposed skin to precisely align frames of the exposed skin. The method may also include generating the color signals by estimating a skin color for each frame by taking a spatial average over pixels of a cheek of the face(s) for R, G, and B channels, respectively, applying an operation to remove remaining motion traces from the frames such that the heart rate traces dominate, and extracting and/or outputting the heart rate of the individuals using a frequency estimator of the skin color signals.

Sports equipment and/or areas of play are provided, comprising a sports equipment or area of play and a sensor.

Provided is a sensor device-equipped golf shoes comprising: golf shoes including a left and right pair of a first shoe and a second shoe to be worn by a golfer; and a sensor device attached to the golf shoes. The sensor device includes one or more sensor modules configured to measure sensor data pertaining to at least one of an orientation of the first shoe when the golfer takes a shot, an orientation of the second shoe when the golfer takes a shot, and a positional relationship between the first shoe and the second shoe when the golfer takes a shot.

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

In an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. The mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. The mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.

An electronic device is provided. The electronic device includes a housing including at least one electronic component, and a pad structure coupled with the housing, and attached to a user body. The pad structure includes a first adhesive material having an adhesive strength at which the electronic device holds attachment in response to lack of existing water or humidity, and a second adhesive material abutting the first adhesive material and having an adhesive strength at which the electronic device holds the attachment in response to existing water or humidity.

Systems and methods are provided for determining an acceleration at a location of interest within one of a user's head and neck. At least one of linear acceleration data, angular acceleration data, angular velocity data, and orientation data is produced using at least one sensing device substantially rigidly attached to an ambient-accessible surface of the user's head. The location of interest is represented relative to a position of the at least one sensing device as a time-varying function. An acceleration at the location of interest is calculated as a function of the data produced at the sensing device and the time-varying function representing the location of interest. The calculated acceleration at the location of interest is provided to at least one of the user and an observer in a human-perceptible form.

Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

An apparatus for remote controlled physical activity monitoring, the apparatus comprising: at least one orientation measurer, wearable on at least one body part of a user, configured to measure orientation of a body part wearing the orientation measurer during a physical activity of the user, at least one pressure meter, wearable on at least one body part of the user, configured to measure pressure applied by muscle of a body part wearing the pressure meter during the physical activity of the user, a computer processor, associated with the orientation measurer and pressure meter, configured to derive monitoring control data from the measured orientation and pressure, and a data transmitter, associated with the computer processor, configured to transmit the monitoring control data to a physical activity monitoring device, and thereby to remotely control a monitoring of the physical activity of the user by the physical activity monitoring device.