A wearable article includes: an annular casing that surrounds a space into which a body of a user is to be inserted; a light-emitting element that is provided in the casing, the light-emitting element emitting light towards the space; an imaging element that is provided in the casing, the imaging element capturing and obtaining an image of the space when the light-emitting element emits light; and an authentication circuit that authenticates the user based on a vein pattern obtained in advance and the image.

A shop system (10) including: an acquisition unit (11) that acquires an entrance image generated by a camera installed at a shop entrance; a detection unit (12) that detects a face of a person in the entrance image; a editing unit (13) that generates a edited image acquired by editing the entrance image in which a face of a person is detected; a display control unit (14) that displays the edited image; a determination unit (15) that determines whether the entrance image prior to editing of the edited image being displayed at a predetermined image capture timing satisfies a predetermined condition; and a processing unit (16) that registers, when the predetermined condition is satisfied, the entrance image determined as satisfying the predetermined condition in shop entry person information stored by a storage unit, and also sets an entry control apparatus installed at a shop entrance into an entry-allowed state.

A cavity authentication system for verifying at least one feature of a user using at least one acoustic signal, including an orifice element, including at least a signal opening and a reflection opening, an acoustic wave generator (AWG), an acoustic wave sensor (AWS), at least one output waveguide, at least one input waveguide, a processor, a memory and a power supply, the AWG for producing at least one acoustic signal, the AWS for receiving at least one reflection of the acoustic signal, the output waveguide for transmitting the acoustic signal to the user, the input waveguide for receiving the reflection of the acoustic signal, the memory configured to store cavity authentication data representative of the feature, wherein the processor is configured to analyze the reflection and to compare the analyzed reflection with the retrievable cavity authentication data and to generate an indication whether the analyzed reflection matches the retrievable cavity authentication data above a pre-determined threshold.

A computer-based system and method for generating a current pain assessment of a neonate using facial expressions along with crying sounds, body movement, and vital signs changes and for using the current pain objective assessment to predict future pain objective assessment and assign a future pain probability score by incorporation spatiotemporal data into the multimodal assessment.

An imaging photoplethysmography (iPPG) system is provided. The iPPG system receives a sequence of images of different regions of the skin of the person, where each region including pixels of different intensities indicative of variation of coloration of the skin. The iPPG system further transforms the sequence of images into a multidimensional time-series signal, each dimension corresponding to a different region from the different regions of the skin. The iPPG system further processes the multidimensional time-series signal with a time-series U-Net neural network wherein the pass-through layers include a recurrent neural network (RNN) to generate a PPG waveform, where the vital sign of the person is estimated based on the PPG waveform, and the iPPG system further renders the estimated vital sign of the person.

Methods, devices, and systems for contactless cough detection and attribution are presented herein. Audio data may be received using a microphone. A cough may be identified as having occurred based on the received audio data. Radar data may be received indicative of reflected radio waves from a radar sensor. A state analysis process may be performed using the received radar data. The detected cough may be attributed to a particular user based at least in part on the state analysis process performed using the radar data.

Systems and methods are provided to monitor vital signs from a plurality of subjects simultaneously and in real-time. The systems and methods can utilize visible video signal or infrared (IR) video signals, or both, defining respective sequences of frames representative of a scene including the plurality of subjects. The systems and methods can analyze digital images corresponding to respective frames in a sequence of frames to generate a time series of image values. In an aspect, the systems and methods can analyze the time series to identify a characteristic frequency representing a value of a vital signal that is oscillatory in nature.

Devices, methods and systems are disclosed for assisting patients in behavioral modification and cessation programs aimed at terminating undesired behaviors such as smoking, alcohol use and others. Patient devices configured to be easily carried or worn including test units such as carbon monoxide blood level sensors with automated patient prompting for self-testing, analysis of test results and data logging are included in a networked system with a specifically designed treatment modality. Devices and methods disclosed are particularly suited to use in smoking cessation treatment and programs.

Devices, methods and systems are disclosed for assisting patients in behavioral modification and cessation programs aimed at terminating undesired behaviors such as smoking, alcohol use and others. Patient devices configured to be easily carried or worn including test units such as carbon monoxide blood level sensors with automated patient prompting for self-testing, analysis of test results and data logging are included in a networked system with a specifically designed treatment modality. Devices and methods disclosed are particularly suited to use in smoking cessation treatment and programs.

Techniques are described for cognitive analysis for directed control transfer for autonomous vehicles. In-vehicle sensors are used to collect cognitive state data for an individual within a vehicle which has an autonomous mode of operation. The cognitive state data includes infrared, facial, audio, or biosensor data. One or more processors analyze the cognitive state data collected from the individual to produce cognitive state information. The cognitive state information includes a subset or summary of cognitive state data, or an analysis of the cognitive state data. The individual is scored based on the cognitive state information to produce a cognitive scoring metric. A state of operation is determined for the vehicle. A condition of the individual is evaluated based on the cognitive scoring metric. Control is transferred between the vehicle and the individual based on the state of operation of the vehicle and the condition of the individual.