Embodiments relate to a device for mounting on a wall for monitoring an environment. In one embodiment the device comprises: a body comprising: an active reflected wave detector; and a processor coupled to the active reflected wave detector, the processor configured to: control the active reflected wave detector to measure wave reflections from the environment to accrue measured wave reflection data, and identify a status of a person in the environment based on the measured wave reflection data, wherein the processor assumes, for said identification, that the active reflected wave detector is at an operating height above a floor of the environment. The device comprises a cord extending from the body, the cord having a length for ending at the floor when the device is mounted with the active reflected wave detector at said operating height and the cord is freely hanging and straight.

A method comprising: controlling an active reflected wave detector to measure wave reflections from an environment using a first frame rate to accrue measured wave reflection data for a classifier, after a first amount of time, determining whether a predefined criteria is satisfied, wherein satisfaction of the predefined criteria is indicative of the classifier being likely to successfully identify a fall status of a person in the environment by a second amount of time of accruing measured wave reflection data from the active reflected wave detector, the second amount of time being greater than the first amount of time; in the event that the predefined criteria is not met, the method comprising controlling the active reflected wave detector to accrue measured wave reflection data at a lower second frame rate for classifying the fall status based on measured wave reflection data accrued at the lower second rate.

A system for monitoring one or more environmental conditions associated with a working environment includes a wearable device configured to be worn by a worker and one or more environmental sampling sensors configured to monitor the one or more environmental conditions associated with the working environment and determine environmental sampling information based on the monitoring of the one or more environmental conditions. The system further includes a positioning sensor configured to determine positioning information for the worker, the positioning information for the worker including information regarding positioning of the worker relative to the working environment. The system includes a controller configured to receive the environmental sampling information, receive the positioning information from the positioning sensor, and determine, based on the environmental sampling information and the positioning information, if the one or more environmental conditions necessitates an alert to be presented to the worker.

A safety device that is worn by a worker in a manufacturing facility is presented. The safety device includes a microprocessor, memory, an antenna and transceiver and a plurality of sensors that sense environmental conditions surrounding the worker such as light levels, noise levels, temperature, humidity, air quality and CO levels. The safety device also tracks the position of the worker and includes an accelerometer that detects trips and falls. The safety device also includes an event trigger which can be activated by the worker when a notable event or near miss occurs. The environmental information recorded by the safety device is used to both track accidents and near misses and is aggregated in a database for datamining purposes so as to predict future accidents and near misses. This information is also used to create correlations and better understand the root cause of accidents and near misses.

A remote distress monitor includes a steerable microphone array, a memory, and a control system. The steerable microphone array is configured to detect audio data and generate sound data. The memory stores machine-readable instructions. The control system includes one or more processors configured to execute the machine-readable instructions. The generated sound data from the steerable microphone array is analyzed. Based at least in part on the analysis, a token associated with the audio data detected by the steerable microphone array is generated. The audio data is representative of one or more sounds associated with a distress event. The generated token is transmitted, via a communications network, to an electronic device to cause a distress response action to occur. The distress response action is associated with the distress event.

A system for event detection and reporting has primary sensors for producing raw data from observing the proximate area, one or more processors for the primary sensors, for processing the raw data to produce output, a centralized controller to which each of the processors is connected, for receiving the output, a security network for communicating between the sensors, the controller, and one or more remote terminals, the security network having an alarm, and a plurality of auxiliary sensors for providing secondary sensor information to the one or more processors wherein the controller provides an alarm to the remote terminals through the security network if an event has occurred. A method of event detection has the steps of receiving a control command, alarm message and sensor information, determining if an event has occurred, and sending alarm messages and filtered sensor information to remote terminals if an event has occurred.

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.

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.

A fall detection system includes first sensing devices, second sensing devices, positioning modules, a data server and a display device. The first sensing device is configured to detect a posture of a body part of a user for obtaining body part posture data. The positioning modules are configured to detect positions of the first and second sensing devices, so as to obtain corresponding body part position data. Each of the second sensing devices is disposed on a shoe to detect a posture of a user's feet and to measure a distance from an ambient object for obtaining feet posture data and distance measurement data. The data server is configured to receive the body part posture data, the body part position data, the feet posture data and the distance measurement data to determine if the user falls down.

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.