A system and method are described for controlling a vehicle interior environmental condition. A biometric sensor senses a biometric condition of a vehicle seat occupant and generates a sensed biometric condition value. A controller receives the sensed biometric condition value, a sensed interior environmental condition value, and a sensed exterior environmental condition value. Each of multiple exterior environmental condition values has an associated biometric condition value defined as optimal for the vehicle occupant. The controller determines the optimal biometric condition value associated with the sensed exterior environmental condition value, compares the optimal biometric condition value to the sensed biometric condition value, and in response to a difference between the optimal biometric condition value and the sensed biometric condition value, generates a control signal to control an actuator to control the controllable interior environmental condition to reduce the difference between sensed biometric condition value and the optimal biometric condition value.

A fatigue relief method using smart footwear and an operation method for a user terminal are provided. The fatigue relief method using smart footwear comprises: receiving the provision of pressure data or acceleration data measured while a user wears smart footwear and performs an exercise, wherein the smart footwear has at least one pressure sensor or acceleration sensor and a tactile element, which are installed therein; estimating the fatigue of the user by using the provided pressured data or acceleration data; selecting one of a plurality of vibration solutions on the basis of the estimated fatigue; and allowing the tactile element of the smart footwear to vibrate according to the selected vibration solution.

A signal processing circuit in one aspect of the present disclosure includes a first circuit, a second circuit, an electric wire, and a third circuit. The first circuit has at least a first input terminal that receives a first signal and a first output terminal that outputs a second signal at least based on the first signal. The second circuit has at least a second input terminal that receives the second signal and a second output terminal that outputs a frequency-modulated second signal. The electric wire is electrically connected with the second output terminal. The third circuit has at least a third input terminal that receives the frequency-modulated second signal and a third output terminal that outputs a second signal demodulated to a frequency at the time of input to the first circuit. The electric wire is further electrically connected with other than the second output terminal and the third input terminal.

A device can be used for a long period of time without increasing the size and weight, and a biological signal is surely measured. An aspect of the present invention includes acquiring, from a first sensor, a first biological signal related to a heartbeat of a subject, acquiring, from a second sensor, a second biological signal related to the heartbeat of the subject, detecting a first feature from the first biological signal acquired, setting a light emission control pattern based on a detection timing of the first feature and information indicating time correlation between the first biological signal and the second biological signal, and driving a light emitting element of the second sensor to perform intermittent light emission based on the light emission control pattern set.

A device can be used for a long period of time without increasing the size and weight, and a biological signal is surely measured. An aspect of the present invention includes acquiring, from a first sensor, a first biological signal related to a heartbeat of a subject, acquiring, from a second sensor, a second biological signal related to the heartbeat of the subject, detecting a first feature from the first biological signal acquired, setting a light emission control pattern based on a detection timing of the first feature and information indicating time correlation between the first biological signal and the second biological signal, and driving a light emitting element of the second sensor to perform intermittent light emission based on the light emission control pattern set.

A system and method for automatically assessing pilot readiness via a plurality of biometric sensors includes continuously receiving biometric data including vision-based data; the biometric vision-based data is compared to a task specific set of movements and facial expressions as defined by known anchor points. A deviation is calculated based on the vision-based data and task specific set of movements and expressions, and the deviation is compared to an acceptable threshold for pilot readiness. Other biometric data may be included to refine the readiness assessment.

A system and method for automatically assessing pilot readiness via a plurality of biometric sensors includes continuously receiving biometric data including vision-based data; the biometric vision-based data is compared to a task specific set of movements and facial expressions as defined by known anchor points. A deviation is calculated based on the vision-based data and task specific set of movements and expressions, and the deviation is compared to an acceptable threshold for pilot readiness. Other biometric data may be included to refine the readiness assessment.

A pilot may be more stressed during take-off or landing, which is not abnormal. Physiological data of the pilot may be received. Placing the physiological data in context of the current situation may be advantageous in detecting anomalous behaviors of the pilot. A system and method are described. The system and method receive a stream of images from a camera and detect whether the pilot is exhibiting anomalous behavior. The anomalous behavior is further put into context based on the flight state and various avionics information.

A pilot may be more stressed during take-off or landing, which is not abnormal. Physiological data of the pilot may be received. Placing the physiological data in context of the current situation may be advantageous in detecting anomalous behaviors of the pilot. A system and method are described. The system and method receive a stream of images from a camera and detect whether the pilot is exhibiting anomalous behavior. The anomalous behavior is further put into context based on the flight state and various avionics information.

Cardiac data defining at least inter-beat interval (IBI) sequences is received. Tagging data that defines tags of sleep-states for the IBI sequences is received. A sleep-state classifier is generated using the cardiac data and the tagging data, the generating may include: extracting the IBI sequences from the cardiac data; training a convolutional neural network (CNN) using as input the cardiac data and the tagging data to generate intermediate data; and iteratively training a recurrent neural network (RNN) configured to produce state data as output, the iterative training of the RNN using i) the intermediate data as an initial input and ii) the intermediate data and a previous state data as subsequent input.