Methods, apparatuses, systems, and computer program products for facilitating human intervention in an autonomous device are disclosed. In a particular embodiment, a method of facilitating human intervention in an autonomous device includes a service controller selecting from a first plurality of human interventionists, by a service controller, a first set of human interventionists to respond to a request associated with an autonomous device; transmitting, by the service controller, the request to a first set of interventionist devices, each interventionist device of the first set of interventionist devices associated with a particular human interventionist in the first set of human interventionists; and receiving from the first set of interventionist devices, by the service controller, a first set of interventionist responses to the request.

Provided is an information processing apparatus comprising at least one processor, the at least one processor configured to execute a first authentication process at a first authentication level based on first biometric information about a user acquired at a first timing; instruct the information processing apparatus to operate in a first operation mode in a case where a result of the first authentication process reaches the first authentication level, and the user corresponding to the first biometric information is judged to have first operation authority; execute a second authentication process at a second authentication level lower than the first authentication level, based on second biometric information about the user acquired at a second timing during the operation in the first operation mode; and execute a process according to a result of the second authentication process.

Provided is an information processing apparatus comprising at least one processor, the at least one processor configured to execute a first authentication process at a first authentication level based on first biometric information about a user acquired at a first timing; instruct the information processing apparatus to operate in a first operation mode in a case where a result of the first authentication process reaches the first authentication level, and the user corresponding to the first biometric information is judged to have first operation authority; execute a second authentication process at a second authentication level lower than the first authentication level, based on second biometric information about the user acquired at a second timing during the operation in the first operation mode; and execute a process according to a result of the second authentication process.

Devices and systems for determining personal outdoor comfort are described herein. One device includes instructions executable to receive inputs corresponding to characteristics of a user associated with a mobile device, determine a location of the mobile device, communicate an indication of the characteristics and the determined location to a computing device, and receive an outdoor comfort determination from the computing device, wherein the outdoor comfort determination is particular to the user based on the characteristics of the user and particular to the location of the mobile device based on a plurality of environmental parameters associated with the location of the mobile device.

The present invention is provided with: an identification unit 421 that identifies a viewing direction of a driver based on a captured image including the face of the driver; a distractedness detection unit 422 that detects, based on the viewing direction identified by the identification unit 421, distractedness that the driver views a direction different from a front side of a vehicle for a certain period of time or longer; an operation accepting unit 423 that accepts an operation on an operation member disposed inside the vehicle when distractedness of the driver is not detected by the distractedness detection unit 422, and restricts an operation on the operation member when distractedness of the driver is detected by the distractedness detection unit 422; and a display control unit 424 that displays an image based on the operation accepted by the operation accepting unit 423 when the distractedness of the driver is not detected by the distractedness detection unit 422, and displays a warning image for warning that the driver is not attentively viewing the front side when the distractedness of the driver is detected by the distractedness detection unit 422.

An adapter for use with components of a truck trailer. The adapter may include multiple input terminals corresponding with multiple terminals of a trailer component socket of a trailer, and multiple output terminals configured to electrically connect with corresponding input terminals of a trailer component. The adapter may also include an adapter circuit configured to electrically connect at least four of the input terminals with at least four of the multiple output terminals. The multiple output terminals may include at least two mode selection output terminals configured to provide a mode selection to the trailer component, and the trailer component optionally includes control logic configured to activate and deactivate the trailer component according to the mode selection.

A system and method for quantifying Alzheimer's disease (AD) risk using one or more interferometric micro-Doppler radars (IMDRs) and deep learning artificial intelligence to distinguish between cognitively unimpaired individuals and persons with AD based on gait analysis. The system utilizes IMDR to capture signals from both radial and transversal movement in three-dimensional space to further increase the accuracy for human gait estimation. New deep learning technologies are designed to complement traditional machine learning involving separate feature extraction followed-up with classification to process radar signature from different views including side, front, depth, limbs, and whole body where some motion patterns are not easily describable. The disclosed cross-talk deep model is the first to apply deep learning to learn IMDR signatures from two perpendicular directions jointly from both healthy and unhealthy individuals. Decision fusion is used to integrate classification results from feature-based classifier and deep learning AI to reach optimal decision.

Vehicle-based package delivery and alignment systems and methods are provided herein. An example method includes performing a first alignment of a delivery door of a vehicle with a receiving door of a package locker using location signals that are indicative of a location of the package locker, performing a second alignment of the delivery door with the receiving door based on camera images of an alignment target, and transferring a package from the vehicle to the package locker.

Tracker tags, smart tags, locator tags, and the like are provided. A portable tracker device, according to one implementation, includes a housing having a front cover and a back cover. The portable tracker device also includes Radio Frequency (RF) circuitry configured to operate within at least one of a Bluetooth (BT) frequency range and an Ultra-Wideband (UWB) frequency range. Also, the portable tracker device includes a piezoelectric device having a first conductive plate and a second conductive plate. The RF circuitry utilizes at least one of the front cover, the back cover, the first conductive plate, and the second conductive plate as one or more antennas.

A vehicle door apparatus includes: a moving object detector configured to detect a moving object approaching a door of a vehicle; a door opening operation detector configured to detect a door opening operation performed by an occupant in the vehicle; a door opening restriction unit configured to restrict opening of the door by the door opening operation when detecting approach of the moving object; and a door opening permission unit configured to permit opening of the door by the door opening operation when the door opening operation is detected a predetermined number of times in a state in which the opening of the door is restricted.