Wearable apparatus for monitoring various physiological and environmental factors are provided. Real-time, noninvasive health and environmental monitors include a plurality of compact sensors integrated within small, low-profile devices, such as earpiece modules. Physiological and environmental data is collected and wirelessly transmitted into a wireless network, where the data is stored and/or processed.

In one embodiment, a method for generating a message to a friend of a user is provided, comprising: processing activity data of a first user measured by an activity monitoring device to update a value of an activity metric for the first user; identifying a change in an inequality relationship between the value of the activity metric for the first user and a value of the activity metric for a second user; in response to identifying the change in the inequality relationship, prompting the first user to generate a message to the second user.

There is described an integrated unweighted gait training system having an unweighting system comprising a computer controller; a gait measurement system in communication with the controller; and a display in communication with the computer controller adapted and configured to provide real-time feedback to a user of the integrated unweighting gait training system. The unweighting system may be a differential air pressure (DAP) unweighting system or a non-DAP unweighting system.

A method and a system for action monitoring of reciprocating sport are provided. The monitoring method is adapted for a monitoring system including a calculation apparatus, at least one gravity sensor disposed on at least one motion part of a human body and at least one electromyography sensor disposed on at least one muscle part of the human body. The method includes: in a process of a reciprocating sport involving multiple actions performed by the human body, sensing a relative angle of each motion part with respect to a reference position of the human body by the gravity sensor and sensing a startup sequence of the muscle part by the electromyography sensor; determining the action performed by the human body according to the relative angle; and determining whether a force applied by the human body is correct according to the action and the startup sequence of the muscle part.

Physical fitness assessment systems and methods and wellness assessment systems and methods are disclosed. One physical fitness assessment system includes an exercise device and a host computer. The exercise device is configured to track movement of the exercise device by a user, determine a current physical activity data of the user based on, at least, the tracked movement, and transmit the current physical activity data of the user. The host computer is configured to receive from the exercise device the current physical activity data of the user, receive a physical fitness assessment selection to apply to the current physical activity date, compare the current physical activity data against benchmark physical activity data correlated with the exercise device, determine a physical fitness assessment of the user, generate the physical fitness assessment image based on the physical fitness assessment of the user, and present the physical fitness assessment image.

An imaging system, comprising a shooting operation interface that operates to form an image of a subject, and a processor that has a bio-information acquisition section and a stress determination section, wherein the bio-information acquisition section acquires bio-information of an operator when, during shooting awaiting action where an instant for acquiring still images is awaited, the shooting operation interface is operated, and the stress determination section determines stress conditions that shooting actions place on the operator based on the bio-information that has been acquired using the bio-information acquisition section.

A method and a system for determining an energy expenditure of a user by detecting unmeasurable loads using heart rate and work rate are described. Time-stamped heart rate data and work rate data can be collected by one or more sensing modules. A processor circuit can calculate a heart rate-based energy expenditure and a work rate-based energy expenditure. The processor circuit can output a hybrid energy expenditure based on a heart rate confidence parameter, an exercise type, a fraction of heart rate reserve, and a hear rate-based metabolic equivalents of task.

The present disclosure relates to a system and method of detecting activity by a wheelchair user. In one aspect, a method comprises collecting motion data of a user device located on an appendage of the user; detecting, by a processor circuit, that one or more activities by the wheelchair user occurred based on the motion data; calculating, by a processor circuit, an energy expenditure by the user based the one or more activities by the wheelchair user occurred; and outputting, by a processor circuit, the energy expenditure estimation.

Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a plurality of moments of interest. Based on the MET measures and a time period for which the MET measures exceed a threshold value, it is determined whether the user is in a sedentary state. If the user is in the sedentary state, the user is provided a notification to encourage the user to perform a non-sedentary activity.

A portable device for evaluating a physical strength is disclosed. The portable device includes a first sensor for sensing walking of a user; a second sensor for sensing heartbeat of the user; and a controller for: measuring a walking speed of the user using a sensed result of the first sensor; measuring a heart rate of the user using a sensed result of the second sensor; and evaluating a physical strength of the user using the measured heart rate when the walking speed of the user is changed by a specific speed or more by comparing a virtual heart rate calculated using the walking speed of the user with the measured heart rate.