A photoelectric sensor can include: a lighting element configured to generate a first optical signal, where a second optical signal is generated by reflection of the first optical signal when emitting an object; a driving circuit configured to drive the lighting element; a photoelectric conversion circuit configured to generate a first optical current in accordance with the second optical signal; and a programmable current amplifier circuit configured to sample and hold the first optical current when the lighting element is in operation, and to generate a second optical current when the lighting element is out of operation in one detection period, where the second optical current lasts for at least one working period in the detection period, and where the second optical current represents the first optical current.

System and techniques for tracking caloric expenditure using sensor driven fingerprints are described herein. A set of outputs may be obtained from a plurality of sensors. A fingerprint may be generated using the set of outputs. The fingerprint may correspond to an activity observed by the plurality of sensors. The generated fingerprint may be compared to a set of fingerprints stored in a database. Each fingerprint of the set of fingerprints may correspond to a respective caloric expenditure. A caloric expenditure may be calculated for the activity based on the comparison. An exercise profile of a user may be updated using the caloric expenditure

Systems and methods for segmenting a period of time into identification of locations of a user who performs activities are described. One of the methods includes detecting activity of a monitoring device worn by the user. The activity includes an amount of movement of the monitoring device. The activity is performed for a period of time. The method further includes obtaining geo-location data for the monitoring device and storing, during the period of time, the detected activity and corresponding geo-location data. The method also includes analyzing the detected activity and the corresponding geo-location data to identify one or more events. Each event is associated with a group of activity data and one or more of the groups of activity data is associated with an identifier, which is obtained using the geo-location data.

An electronic skin is manufactured by disposing an oxide thin film transistor (TFT), a pressure sensor, and a temperature sensor on a flexible substrate. The pressure sensor and the temperature sensor are respectively located on two sides of the flexible substrate. The oxide TFT includes a first TFT and a second TFT. The pressure sensor is configured to drive the first TFT, and the temperature sensor is configured to drive the second TFT. The method for preparing the electronic skin is to form an oxide TFT, a pressure sensor, and a temperature sensor by means of etching and deposition on a flexible substrate whose double sides are covered with conductive materials. The electronic skin provided in the present invention may simultaneously measure pressure and temperatures, and has a simple structure, a low working voltage, small power consumption, high sensitivity, and small interference between sensor signals.

An electric training apparatus is configured to apply, by a load motor, a load on a rotating body configured to apply a load on an exercising person, detect an exercise physiological response value of the exercising person and a number of revolutions of the rotating body, perform control for gradually increasing the load of the load motor toward a set load upper limit value so that a detection result of the exercise physiological response value of the exercising person approaches a target exercise physiological response value set in advance, and change, before an exercise or during the exercise by the exercising person, the load upper limit value in response to a control command input based on a state of the exercising person, a state of the control, and a perceived exertion scale for the exercising person.

Methods, systems and devices are provided for displaying monitored activity data in substantial real-time on a screen of a computing device. One example method includes capturing motion data associated with activity of a user via an activity tracking device. The motion data is quantified into a plurality of metrics associated with the activity of the user. The method includes connecting the activity tracking device with a computing device over a wireless data connection, and sending motion data from the activity tracking device to the computing device for display of one or more of the plurality of metrics on a graphical user interface of the computing device. At least one of the plurality of metrics displayed on the graphical user interface is shown to change in substantial real-time based on the motion data.

A system and method for adaptive fitness testing is provided. A fitness testing application manages fitness tests on a fitness testing apparatus by collecting physiological data and calculating various performance metrics. The fitness testing application automatically reconfigures fitness tests to adopt to a user's improving fitness level.

A filter to cut at least a harmonic component of a frequency component derived from breathing of a person to be observed is applied to a detected signal of a wireless sensor, and a heartbeat component of the person is detected in a signal having passed through the filter.

Methods, systems and devices for linking devices to tracking devices are provided. One method includes scanning, by an activity tracking device, for a semi-unique identifier broadcasted by a device. The method connects the device with the activity tracking device after the semi-unique identifier is found to be of the device by the activity tracking device. The activity tracking device is configured to communicate with the device to obtain device identification (ID) of the device. The method then automatically links the device to the activity tracking device when the device ID of the device matches a copy of the device ID stored in the activity tracking device. In one example, the tracking devices operate as a master and the devices operate as a slave.

A method includes receiving geo-location data collected over time period. The geo-location data is associated with a monitoring device. The method further includes receiving motion tracking data of the monitoring device. The motion tracking data is collected over time period. The method includes identifying one or more activities. The activities are identified based on inference rules that identify certain activities to have occurred when at least part of the motion tracking data is correlated to the received geo-location data. The method further includes defining a metric for one or more of the identified activities. The metric is associated to a calendar date. The method includes sending the metric to a calendar application with integration instructions. The integration instructions define the calendar date to which the metric will be added.