An apparatus adapted to be worn at or near an ear of a subject includes at least one battery, a plurality of electrodes configured to contact the ear and to sense physiological information from the subject, at least one motion sensor configured to monitor subject body motion, at least one analog-to-digital convertor configured to convert analog sensor signals from the plurality of electrodes into digitized information, at least one speaker configured to supply sound to the subject, at least one digital memory device configured to store at least one algorithm for signal processing, at least one signal processor configured to process data from the plurality of electrodes and the at least one motion sensor using the at least one algorithm to monitor physiological information from the subject, and at least one transceiver configured to enable wireless communication between the apparatus and a remote device.

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.

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.

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.

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.

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

Athletic activity may be monitored using heart rate in addition to or instead of other types of metrics. Accordingly, multiple different activity types may be compared based on heart rate information. Additionally, the heart rate information may be visualized by displaying the heart rate data over time or relative to pace or distance. Additionally, the system may allow a user to analyze his or her heart rate performance by identifying one or more portions of the athletic activity in which a user exhibited a specified range of heart rates. Athletic activity sessions may further be tagged with various indicators including weather, terrain, difficulty and intensity. According to one or more aspects, data for different types of activity metrics may be polled and/or transmitted to a system at different rates or based on different schedules. Moreover, users may specify whether sensed data may be uploaded, recorded and/or visualized prior to or during an activity session.

A physical strength evaluation method of a portable device is disclosed. The physical strength evaluation method of the portable device comprises the steps of: measuring a walking speed of a user; measuring the heart rate of the user; and evaluating the physical strength of the user by using the measured heart rate when the walking speed of the user changes to a specific speed or higher.

A calorimetric performance monitoring system includes an analyzer that is fluidly connected to an in-stream respiration flow sensor. The system includes a controller that is configured to determine a flow rate of respiration flow and at least a portion of a composition of the respiration flow on a breath-by-breath basis and temporally associate the respiration flow value and the determined portion(s) of the composition of the respiration flow and segregate non-steady state respiration performance data from steady state respiration performance data and determine a calorimetric performance from the steady state respiration performance data.

An information processing apparatus may include a processor to acquire information associated with behavior of a user and information associated with satisfaction degree of the user, and to analyze an association between the information associated with behavior and the information associated with satisfaction degree.