A vehicle includes a detection system configured to acquire data regarding operation of the vehicle, and a robotic driving device configured to provide robotic control of the vehicle. The vehicle also includes a control system configured to determine whether the robotic driving device is activated, such that the vehicle is in robotic driving mode; receive a request by a prospective operator of the vehicle to deactivate the robotic driving device to initiate a manual driving mode; determine whether the prospective operator is impaired based on the data; and selectively grant or refuse the request based on the determination.

A vehicle includes a detection system configured to acquire data regarding operation of the vehicle, and a robotic driving device configured to provide robotic control of the vehicle. The vehicle also includes a control system configured to determine whether the robotic driving device is activated, such that the vehicle is in robotic driving mode; receive a request by a prospective operator of the vehicle to deactivate the robotic driving device to initiate a manual driving mode; determine whether the prospective operator is impaired based on the data; and selectively grant or refuse the request based on the determination.

A system uses a wearable electronic device to monitoring behavior of an operator of a vehicle. The wearable device is worn on the head of the operator of the vehicle and includes one or more motion sensors. A processor of the wearable device or of a proximate portable electronic device receives data from the one or more motion sensors and detects a pattern of motion based on the data. The system then may determine a physiological state or physical behavior of the driver based on the detected patterns or motion. Detected physiological states may include head bobs associated with sleepiness. Detected physical behaviors may include dangerous behaviors such as phone usage, prolonged gazes, sudden lane changes, or hard braking or steering.

A system uses a wearable electronic device to monitoring behavior of an operator of a vehicle. The wearable device is worn on the head of the operator of the vehicle and includes one or more motion sensors. A processor of the wearable device or of a proximate portable electronic device receives data from the one or more motion sensors and detects a pattern of motion based on the data. The system then may determine a physiological state or physical behavior of the driver based on the detected patterns or motion. Detected physiological states may include head bobs associated with sleepiness. Detected physical behaviors may include dangerous behaviors such as phone usage, prolonged gazes, sudden lane changes, or hard braking or steering.

An abnormality processing system is provided capable of executing appropriate processing in cases where an abnormality occurs in a worker's living body. A management computer 300, if determining that an abnormality is present in a worker's living body, transmits an abnormality signal to an administrator terminal 100, a work device 200, a worker camera 20 and a surveillance camera 50. When receiving the abnormality signal, the administrator terminal 100 displays an image showing that an abnormality has occurred. When receiving the abnormality signal, the work device 200 stops operation. When receiving the abnormality signal, the worker camera 20 and the surveillance camera 50 transmit to the management computer 300 imaging data containing at least data of images before and after a timing at which the abnormality has occurred in the worker's living body.

A method for monitoring physical conditions of an operator of a driving apparatus is described. The method includes obtaining an identity of the operator, acquiring signals indicating a physical condition of the operator, and determining whether the physical condition as indicated by the signals has breached a predetermined threshold. Further, when it is determined that the physical condition as indicated by the signals has breached a predetermined threshold, the method includes generating a first status indicating the operator suffers an abnormal physical condition, obtaining a current location of the driving apparatus, generating a first notification based on the first status, the first notification indicating the identity of the operator and the current location of the driving apparatus, the first notification describing the first user suffers the abnormal physical condition, and transmitting the first notification to a data receiver in a healthcare facility.

A method for monitoring physical conditions of an operator of a driving apparatus is described. The method includes obtaining an identity of the operator, acquiring signals indicating a physical condition of the operator, and determining whether the physical condition as indicated by the signals has breached a predetermined threshold. Further, when it is determined that the physical condition as indicated by the signals has breached a predetermined threshold, the method includes generating a first status indicating the operator suffers an abnormal physical condition, obtaining a current location of the driving apparatus, generating a first notification based on the first status, the first notification indicating the identity of the operator and the current location of the driving apparatus, the first notification describing the first user suffers the abnormal physical condition, and transmitting the first notification to a data receiver in a healthcare facility.

In one embodiment, a cognitive load driving assistant increases driving safety based on cognitive loads. In operation, the cognitive load driving assistant computes a current cognitive load of a driver based on sensor data. If the current cognitive load exceeds a threshold cognitive load, then the cognitive load driving assistant modifies the driving environment to reduce the cognitive load required to perform the primary driving task and/secondary task(s), such as texting via a cellular phone. The cognitive load driving assistant may modify the driving environment indirectly via sensory feedback to the driver or directly through reducing the complexity of the primary driving task and/or secondary tasks. In particular, if the driver is exhibiting elevated cognitive loads typically associated with distracted driving, then the cognitive load driving assistant modifies the driving environment to allow the driver to devote appropriate mental resources to the primary driving task, thereby increasing driving safety.

In one embodiment, a cognitive load driving assistant increases driving safety based on cognitive loads. In operation, the cognitive load driving assistant computes a current cognitive load of a driver based on sensor data. If the current cognitive load exceeds a threshold cognitive load, then the cognitive load driving assistant modifies the driving environment to reduce the cognitive load required to perform the primary driving task and/secondary task(s), such as texting via a cellular phone. The cognitive load driving assistant may modify the driving environment indirectly via sensory feedback to the driver or directly through reducing the complexity of the primary driving task and/or secondary tasks. In particular, if the driver is exhibiting elevated cognitive loads typically associated with distracted driving, then the cognitive load driving assistant modifies the driving environment to allow the driver to devote appropriate mental resources to the primary driving task, thereby increasing driving safety.

Methods and apparatus provide physiological movement detection, such as gesture, breathing, cardiac and/or gross motion, such as with sound, radio frequency and/or infrared generation, by electronic devices such as vehicular processing devices. The electronic device in a vehicle may, for example, be any of an audio entertainment system, a vehicle navigation system, and a semi-autonomous or autonomous vehicle operations control system. One or more processors of the device, may detect physiological movement by controlling producing sensing signal(s) in a cabin of a vehicle housing the electronic device. The processor(s) control sensing, with a sensor, reflected signal(s) from the cabin. The processor(s) derive a physiological movement signal with the sensing signal and reflected signal and generate an output based on an evaluation of the derived physiological movement signal. The output may control operations or provide an input to any of the entertainment system, navigation system, and vehicle operations control system.