Patent classifications
G08B21/0469
Method, apparatus, and system for fall-down detection based on a wireless signal
Methods, apparatus and systems for periodic or transient motion detection, e.g. fall event detection, based on wireless signals are described. In one example, a described system comprises: a transmitter configured for transmitting a first wireless signal through a wireless multipath channel of a venue; a receiver configured for receiving a second wireless signal through the wireless multipath channel; and a processor. The second wireless signal differs from the first wireless signal due to the wireless multipath channel that is impacted by a target motion of an object in the venue. The processor is configured for: obtaining a time series of channel information (TSCI) of the wireless multipath channel based on the second wireless signal, computing a time series of spatial-temporal information (STI) of the object based on the TSCI, and detecting the target motion of the object based on the time series of STI (TSSTI).
Device, system and method for health and safety monitoring
A system for monitoring health and safety of workers in a manufacturing facility is presented. The system includes a user interface, a set of sensors, a database, management software and/or a health monitoring system, among other components. The system is configured to monitor health of workers using biometric data gathered by the set of sensors. In one or more arrangements, the system also tracks the position and motion of the worker. In one or more arrangements, the data gathered is aggregated in a database for datamining purposes so as to facilitate health monitoring and mitigation of identified illness. The system may be configured to screen and identify workers who are not in normal health. The system may be configured to screen workers health when clocking into or out of the time keeping system. The system may be configured to perform contact tracing.
SYSTEM FOR MONITORING, TRACKING AND RECORDING SAFETY CONDITIONS AND STATUS OF SUBJECTS IN A CONFINED AREA
An integrated system for monitoring, tracking and recording activities of daily livings (ADLs) and safety and wellness conditions of subjects within the same or different locations of a confined area, comprising: alert signal generators, each alert signal generators receives signals from corresponding sensors and/or condition selectable switches disposed in where proximal to each of the subjects residing in the confined area for sensing motions, locations, and change in environmental and/or personal conditions of the corresponding subject or alarm signals actively or passively triggered by the subject, and being activated by said signals from the sensors; corresponding pairing devices physically connected to the alert signal generators for pairing with the corresponding alert signal generators to relay corresponding alert signals to a receiving device, and to receive one or more of responses, information, commands, and/or instructions from the receiving device.
Systems and methods for mapping a given environment
Methods and systems for mapping boundaries of a given environment by a processor of a computer system, the method comprising: determining a trajectory of the body in the given environment over the given time period; and determining, based on the trajectory of the body in the given environment, one or more of an outer boundary of the given environment, and an inner boundary of the given environment. Methods and systems for mapping functionalities of a given environment executable by a processor of a computer system, the method comprising determining a pattern of movement of a body in the given environment in a given time period; and determining a functional identity of at least one zone in the given environment based on the pattern of movement of the body to obtain a mapped given environment.
SYSTEM AND METHOD FOR HUMAN AND ANIMAL DETECTION IN LOW VISIBILITY
A system to search in a low visibility environment comprising: an infrared (IR) sensor and a radar unit to receive measurements in a first field of view; a microphone to receive audio measurements in a second field of view; processing circuitry to determine presence of an animal and/or human in the first field of view using a first machine learning engine trained based upon the IR image measurements and/or using a second machine learning engine trained based upon the radar image measurements; determine presence of an animal and/or human in the second field of view using a third machine learning engine trained based upon the audio measurements; providing a first digital transmission indicating whether a human and/or animal is detected within the first field of view; and providing a second digital signal indicating whether a human and/or animal is detected within the second field of view.
Fall validation with privacy-aware monitoring
A method and system for detecting a person falling, confirming a potential fall, and taking action to mitigate the effects of a fall.
Recognizing hazard events based on sounds of in-home activities
A disclosed method includes receiving at least an indication of audio data generated based on sound captured by a microphone of a monitoring device. A set of audio event labels are generated by processing the received audio data with a model that includes audio recognition patterns. Each audio event label is generated by matching an audio pattern in the received audio data with an audio pattern of the audio recognition patterns. The method further includes identifying a hazard event type occurring within a time window of the time period by processing the set of audio event labels with a hazard detection model. In response to detecting the hazard event type, a hazard alert is generated and at least an indication of the hazard alert is communicated to an electronic device other than the monitoring device, which is authorized to receive communications from the monitoring device.
METHOD AND APPARATUS FOR RECOGNIZING ACOUSTIC ANOMALIES
A method for detecting anomalies has the following steps:
Obtaining a long-term recording having a plurality of first audio segments associated to respective first time windows; analyzing the plurality of the first audio segments to obtain, for each of the plurality of the first audio segments, a first characteristic vector describing the respective first audio segment; obtaining a further recording having one or more second audio segments associated to respective second time windows; analyzing the one or more second audio segments to obtain one or more characteristic vectors describing the one or more second audio segments ABCD; matching the one or more second characteristic vectors with the plurality of the first characteristic vectors to recognize at least one anomaly, like a temporal, sound or spatial anomaly.
DEVICE FOR MITIGATION OF PERSONAL INJURIES DUE TO FALLS
A personal injury mitigation device for sensing a fall condition and responsively deploying a protective device in bathrooms or other elevated-risk spatial environments. A fall sensing system of the device includes a sensor and an analysis module that processes a signal from the sensor to determine whether a fall condition exists, and if so, transmits a trigger signal to a deployment system. The deployment system includes a stored energy system and an actuation system operable to release stored energy in response to receipt of the trigger signal. An impact mitigation device receives the released energy from the deployment system, which causes deployment of a protective device (such as an airbag) from a housing in which the protective device is stored in a compact state. In the deployed state, the protective device is operable to protect a person against injury due to impact resulting from a fall.
SENSING PERIPHERAL HEURISTIC EVIDENCE, REINFORCEMENT, AND ENGAGEMENT SYSTEM
Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.