Abstract: Presented herein are systems and methods for detecting that a human or other object is on-the-floor, e.g., after a fall or other means of descent to the floor. The disclosed technology does not require a historic trajectory of movement, nor does the disclosed technology require a worn device. Detection is performed by determining the configuration of the subject using environmental data, such as visual data or depth data.

Abstract: The disclosed technology enables, among other things, the identification of persons and the characterization of mental perceptions (e.g., pain, fatigue, mood) and/or intent (e.g., to perform an action) for medical, safety, home care, and other purposes. Of significance are applications that require long-term patient monitoring, such as tracking disease progression (e.g., multiple sclerosis), or monitoring treatment or rehabilitation efficacy. Therefore, longitudinal data must be acquired over time for the person's identity and other characteristics (e.g., pain level, usage of a cane). However, conventional methods of person identification (e.g., photography) acquire unnecessary personal information, resulting in privacy concerns. The disclosed technology allows measurements to be performed while protecting privacy and functions with partial or incomplete measurements, making it robust to real-world (noisy, uncontrolled) settings, such as in a person's home (whether living alone or with others).

Abstract: The disclosed technology enables, among other things, the identification of persons and the characterization of mental perceptions (e.g., pain, fatigue, mood) and/or intent (e.g., to perform an action) for medical, safety, home care, and other purposes. Of significance are applications that require long-term patient monitoring, such as tracking disease progression (e.g., multiple sclerosis), or monitoring treatment or rehabilitation efficacy. Therefore, longitudinal data must be acquired over time for the person's identity and other characteristics (e.g., pain level, usage of a cane). However, conventional methods of person identification (e.g., photography) acquire unnecessary personal information, resulting in privacy concerns. The disclosed technology allows measurements to be performed while protecting privacy and functions with partial or incomplete measurements, making it robust to real-world (noisy, uncontrolled) settings, such as in a person's home (whether living alone or with others).

Abstract: Presented herein are systems and methods for detecting that a human or other object is on-the-floor, e.g., after a fall or other means of descent to the floor. The disclosed technology does not require a historic trajectory of movement, nor does the disclosed technology require a worn device. Detection is performed by determining the configuration of the subject using environmental data, such as visual data or depth data.

Abstract: The disclosed technology relates generally to systems for measuring the frequency and duration of an individual's use of an assistive device for mobility, such as a cane, in day-to-day life at home. In certain embodiments, the system is a stand-alone unit that does not require the monitored individual to wear any special sensors or use any special assistive devices. Further, in certain embodiments, the system does not require the use of visual-light images or video. The systems and methods, in certain embodiments, gather day-to-day metrics of frequency and duration of assistive-device use and may be used to monitor changes over time of the use of an assistive device by an individual for ambulation.

Abstract: The disclosed technology enables, among other things, the identification of persons and the characterization of mental perceptions (e.g., pain, fatigue, mood) and/or intent (e.g., to perform an action) for medical, safety, home care, and other purposes. Of significance are applications that require long-term patient monitoring, such as tracking disease progression (e.g., multiple sclerosis), or monitoring treatment or rehabilitation efficacy. Therefore, longitudinal data must be acquired over time for the person's identity and other characteristics (e.g., pain level, usage of a cane). However, conventional methods of person identification (e.g., photography) acquire unnecessary personal information, resulting in privacy concerns. The disclosed technology allows measurements to be performed while protecting privacy and functions with partial or incomplete measurements, making it robust to real-world (noisy, uncontrolled) settings, such as in a person's home (whether living alone or with others).

Abstract: The disclosed technology relates generally to systems for integrating commercial off-the-shelf devices to produce a simple, contained, and reconfigurable sensing, computation, and interaction platform. The systems provide a cost-effective and modular interaction platform. The commercial off-the-shelf devices are arranged such that it is possible to change the components or the orientation of the components used without having to re-design each entire system. The system enables placement of physical safeguards on or near the commercial off-the-shelf devices so as to protect user privacy. The system can include but is not limited to a sensor, computation system, display, and communications and power systems.

Abstract: The disclosed technology relates generally to systems for measuring the frequency and duration of an individual's use of an assistive device for mobility, such as a cane, in day-to-day life at home. In certain embodiments, the system is a stand-alone unit that does not require the monitored individual to wear any special sensors or use any special assistive devices. Further, in certain embodiments, the system does not require the use of visual-light images or video. The systems and methods, in certain embodiments, gather day-to-day metrics of frequency and duration of assistive-device use and may be used to monitor changes over time of the use of an assistive device by an individual for ambulation.

Abstract: An electromagnetic composite metamaterial including an electromagnetic medium and a plurality of spaced electromechanical resonators disposed in or on the electromagnetic medium configured to control electromagnetic wave propagation properties in the electromagnetic composite metamaterial.

Abstract: An electromagnetic composite metamaterial including an electromagnetic medium and a plurality of spaced electromechanical resonators disposed in or on the electromagnetic medium configured to control electromagnetic wave propagation properties in the electromagnetic composite metamaterial.