A cognitive function evaluation device includes an acquisition unit that acquires body motion data representing a body motion of a person to be evaluated during walking; a calculation unit that calculates a displacement of a body of the person to be evaluated during walking based on the acquired body motion data; and an evaluation unit that evaluates a cognitive function of the person to be evaluated based on a frequency peak representing a cycle of walking of person-to-be-evaluated obtained by performing a frequency analysis on the calculated displacement, and to output the evaluation result.

A smart monitoring system comprising a plurality of sensor devices within a home or facility, at least one of the plurality of sensor devices comprising sensor elements configured to detect activity of an individual in the home or facility, and a computing device configured to receive activity signals from the plurality of sensor devices associated with the individual from the home or facility, parse the activity signals into scoring components by correlating the plurality of sensor devices to the scoring components, the scoring components including a sleep score, a motion score, and an event score, compute a current scoring of the individual based on the scoring components, compare the current scoring of the individual to historic scoring and peer scoring, generate a quality of life score for the individual based on the based on the comparison, and process a clinical analysis of the individual based on the quality of life score, the clinical analysis including graphical representations of the quality of life score and the scoring components.

Various embodiments of a fall-detection system for detecting personal fall while preserving the privacy of a detected person are disclosed. This disclosed fall-detection system can begin by receiving a sequence of video images comprising a person being monitored. The disclosed fall-detection system then processes each video image in the sequence of video images by: detecting the person in the video image; and extracting a skeletal figure of the detected person by identifying a set of human keypoints from the detected person. Next, the disclosed fall-detection system processes the sequence of skeletal figures corresponding to the sequence of video images by labeling each skeletal figure in the sequence of skeletal figures with an action among a set of predetermined actions. The disclosed fall-detection system subsequently generates a fall/non-fall decision for the detected person based on the set of action labels corresponding to the sequence of video images.

A wearable device measures, tracks, and monitors a wearer's physical physiological conditions during a rehabilitation period. Metrics such as temperature, patellar shifting, limb circumference, and acceleration may be collected. Changes in monitored conditions may be assessed for detecting medical abnormalities which require specialized attention, including for example embolisms or infections. A networked communication system and various user interfaces may be used for medical support personnel and patients alike to stay updated with the patient's rehabilitation progress and to make adjustments in a patient's individual rehabilitation program.

The present disclosure relates to a monitoring system configured to monitor the activities of individuals without having to keep the surrounding area under the surveillance of a camera thereby maintaining the privacy of the individual. In particular, the monitoring system includes a network of sensitive sensor units that are installed onto indoor flooring to record human footstep induced vibrations. The data collected from the sensors can then be processed to identify individual occupants, determine the number of occupants, estimate the location of footsteps, and track the trajectory of each occupant. The extracted trajectory information can be used to assess an occupant's personal activity and social interaction, which can then be used to analyze the individual's physical and psychological health.

Disclosed herein are systems and methods for treating memory impairment, and more specifically to customized visual presentation for treating memory-related disorders and diseases. The disclosed systems and methods can predict clinical status of patients based on platform user behavior, such as those of patients. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.

The present application relates generally to in-home monitoring and an early health crisis alarm system for elderly individuals and patients with chronic diseases. In one aspect, using artificial intelligence and signals from electricity usage, water usage, ballistocardiography (BGC), and ultra-wideband radar, the system and methods may be used to identify and track daily human activities and physical status in the home. Anomalies to patterns can be determined by identifying disruptions in previously established patterns.

A facility for coordinating the safety care of a person is described. The facility receives sensor output indicating that the person has departed a place of repose. In response to this receiving, the facility establishes an alarm identifying the person, accesses a set of on-duty caregivers, and applies one or more precedence rules to establish a precedence among at least a portion of the set of on-duty caregivers. Until a caregiver has accepted the alarm, for each caregiver in the established precedence, the facility: causes a mobile device carried by the caregiver to render a message notifying the caregiver of the alarm and soliciting the caregiver's acceptance of the alarm; and allows the caregiver an interval of time of a first predetermined length in which to accept the alarm before proceeding to the next caregiver in the established precedence.

A drug delivery device includes a capsule, a logic circuit disposed within the capsule, and an actuator connected to the logic circuit and configured to expose an interior of the capsule to an exterior of the capsule upon activation by the logic circuit.