A personal monitoring system includes one or more passive biometric sensors and a communication device. A passive biometric sensor is operable to sense a body condition of a body in accordance with a sense signal at a sense frequency to produce sensed data of a body condition. The passive biometric sensor is further operable to transmit an e-field signal via the body regarding the sensed data, wherein the e-field signal is in accordance with an e-field transmit/receive frequency. The communication device is operable to receive the e-field signal via the body. The communication device is further operable to recover the sensed data from the received e-field signal.

A treadmill includes a frame, an exercise deck attached to the frame, and a first handle movably attached to the frame. The first handle has a first orientation where the first handle is positioned within a region above the exercise deck and stabilized to support a user's weight during a body weight exercise, and a second orientation where the first handle is positioned away from the region above the exercise deck.

Hand held weight units of light weight manufactured as a solid unit, a shell unit with core insert combinations or modular units with interlocking ends. Shell units with core inserts and modular interlocking units allow for the changing of held weight by inserting or removing inserts or by locking or unlocking of modular weight unit sets creating varying held weight. The weight units are primarily used with upper body exercises during aerobic exercises in the home, outdoors, or in a gym setting such as walking or running to vary the intensity of workout during use.

A wearable device may include a sensor. The sensor may include a flexible fabric, a conjugated polymer coating deposited on the fabric via vapor-phase oxidative chemical vapor deposition (oCVD), and a plurality of electrodes in coupled to the conjugated polymer coating. The wearable device may further include a processor communicatively coupled to the electrodes. The processor may measure an electrical property across the electrodes, determine a physiological event based on the measured electrical property, and output measurement information corresponding the physiological event.

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.

A method can include receiving data for a body where the data include energy consumption data and weight change data; generating an efficiency parameter value using the received data, where the efficiency parameter depends on a difference of an amount of water in two different types of body tissues of the body; and generating an output using the efficiency parameter, where such a method can be performed via circuitry of a system or a device, which may include a weight scale, a wearable computing device or a smart phone.

An apparatus for making combined vestibular and somatosensory function assessments, comprising: a portable base unit comprising: a movable platform being at least partially rotatable about an axis of rotation; in use, a user stands with both feet on the movable platform; an adjustable stopping mechanism for adjusting an extent to which the movable platform can rotate in at least one direction with respect to a horizontal plane; and a controller for controlling the adjustable stopping mechanism to selectively adjust the extent to which the movable platform is rotated by one of a plurality of discrete measurable amounts based on a control signal; a visual occlusion headset worn by the user, the headset comprising a device for recording a vestibular function response in response to a vestibular function test.

A method can include receiving (1) images of at least one subject and (2) at least one total mass value for the at least one subject. The method can further include executing a first machine learning model to identify joints of the at least one subject. The method can further include executing a second machine learning model to determine limbs of the at least one subject based on the joints and the images. The method can further include generating three-dimensional (3D) representations of a skeleton based on the joints and the limbs. The method can further include determining a torque value for each limb, based on at least one of a mass value and a linear acceleration value, or a torque inertia and an angular acceleration value. The method can further include generating a risk assessment report based on at least one torque value being above a predetermined threshold.

A method and a wearable device are provided. The method includes providing a swimming mode in the wearable device, and storing standard swimming stroke data that have been collected in advance as corresponding template data, when a monitoring process starts, activating the swimming mode according to an instruction given by a user who will immediately enter water, and after the swimming mode has been activated, controlling a sensor to collect swimming stroke data of the user; obtaining test data for identifying a swimming state of the user from the swimming stroke data; and matching the test data with each template data, when the test data successfully matches the template data, identifying the swimming state of the user to be the swimming state that corresponds to the template data.

A wearable patch for sports can include a patch substrate configured to support a plurality of components, and to allow the patch to be attached to a skin of a user engaged in a sporting activity. The patch can further include a sensor implemented at least partially within the patch substrate and configured to sense a condition of the user. The patch can further include a transmitter circuit in communication with the sensor and configured to transmit information representative of the sensed condition to a location external to the wearable patch.