The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.

Systems and methods for using image analysis techniques to assess unsafe driving conditions by a vehicle operator are discloses. According to aspects, a computing device may access and analyze image data depicting the vehicle operator. In analyzing the image, the computing device may measure certain visible metrics as depicted in the image data and compare the metrics to corresponding threshold values, and may accordingly determine whether the vehicle operator is exhibiting an unsafe driving condition. The computing device may generate and present alerts that indicate any determined unsafe driving condition.

A drowsiness sign notification system applied to a vehicle includes a driver monitor and a controller. The driver monitor detects a driver state being a state of a driver of the vehicle. The controller executes a drowsiness sign determination process that determines whether or not the driver shows a drowsiness sign based on the driver state. When it is determined that the driver shows the drowsiness sign, the controller executes a first drowsiness sign notification process that gives a first drowsiness sign notice to the driver through display or vibration without using audio. When it is determined again that the driver shows the drowsiness sign after the first drowsiness sign notification process, the controller executes a second drowsiness sign notification process that gives a second drowsiness sign notice to the driver through audio.

A drowsiness sign notification system applied to a vehicle includes a driver monitor and a controller. The driver monitor detects a driver state being a state of a driver of the vehicle. The controller executes a drowsiness sign determination process that determines whether or not the driver shows a drowsiness sign based on the driver state. When it is determined that the driver shows the drowsiness sign, the controller executes a first drowsiness sign notification process that gives a first drowsiness sign notice to the driver through display or vibration without using audio. When it is determined again that the driver shows the drowsiness sign after the first drowsiness sign notification process, the controller executes a second drowsiness sign notification process that gives a second drowsiness sign notice to the driver through audio.

In one aspect of the disclosed implementations, a device includes one or more motion sensors for sensing motion of the device and providing activity data indicative of the sensed motion. The device also includes one or more processors for monitoring the activity data, and receiving or generating annotation data for annotating the activity data with one or more markers or indicators to define one or more characteristics of an activity session. The device also includes one or more feedback devices for providing feedback, a notice, or an indication to a user based on the monitoring. The device further includes a portable housing that encloses at least portions of the motion sensors, the processors and the feedback devices.

In one aspect of the disclosed implementations, a device includes one or more motion sensors for sensing motion of the device and providing activity data indicative of the sensed motion. The device also includes one or more processors for monitoring the activity data, and receiving or generating annotation data for annotating the activity data with one or more markers or indicators to define one or more characteristics of an activity session. The device also includes one or more feedback devices for providing feedback, a notice, or an indication to a user based on the monitoring. The device further includes a portable housing that encloses at least portions of the motion sensors, the processors and the feedback devices.

To provide a determination device and program that make it possible to improve accuracy of determining a sign related to a decrease in driving ability of a driver.

Provided is a determination device including: a sign determination section configured to determine a sign related to a decrease in driving ability of a driver who drives a mobile object on a basis of head movement measurement data obtained by measuring head movement of the driver and eye movement measurement data obtained by measuring eye movement of the driver; and a head swing control section configured to control a head swing section in such a manner that the head swing section swings the head of the driver.

To provide a determination device and program that make it possible to improve accuracy of determining a sign related to a decrease in driving ability of a driver.

Provided is a determination device including: a sign determination section configured to determine a sign related to a decrease in driving ability of a driver who drives a mobile object on a basis of head movement measurement data obtained by measuring head movement of the driver and eye movement measurement data obtained by measuring eye movement of the driver; and a head swing control section configured to control a head swing section in such a manner that the head swing section swings the head of the driver.

A method for monitoring driver alertness in a vehicle is disclosed. Image data representing images of an eye of a driver are obtained, the images having been captured while the driver is operating the vehicle. An eye openness measure of the eye of the driver is computed, based on the image data. A determination is made that the driver is in an unsafe state for driving based on the eye openness measure, and an alert is generated, while the driver is operating the vehicle, based on determining that the driver is in the unsafe state.

A method for monitoring driver alertness in a vehicle is disclosed. Image data representing images of an eye of a driver are obtained, the images having been captured while the driver is operating the vehicle. An eye openness measure of the eye of the driver is computed, based on the image data. A determination is made that the driver is in an unsafe state for driving based on the eye openness measure, and an alert is generated, while the driver is operating the vehicle, based on determining that the driver is in the unsafe state.