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 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: A system for early warning of health status decline includes at least one energy emitter configured to emit energy onto a field-of-view that contains an individual, and at least one energy sensor configured to capture reflected energy from within the field-of-view. A spatial measurement module calculates spatial measurements of a surface portion of the body of the individual when the individual is either stationary or moving about in real-time, based on data from the energy sensor. A comparator module detects deviations in measurements from baseline values indicative of a deterioration in health status of the individual.

Abstract: A system for monitoring individuals while protecting their privacy includes at least one energy emitter configured to emit energy onto a field-of-view that may contain an individual, and at least one energy sensor configured to capture reflected energy from within the field-of-view. A spatial measurement module calculates spatial measurements of objects within the field-of-view based on data from the energy sensor. A schematic generation module creates schematic views of objects within the field-of-view, distinguishing human beings from each other and from inanimate objects or animals. Three-dimensional measurements of the individual and environs are transformed into a two-dimensional or other schematic view, allowing ongoing monitoring of the individual while preventing viewing of the individual's face and appearance, and preventing observation of what the individual may be wearing or watching.

Abstract: A system for sizing and fitting an individual for apparel, accessories, or prosthetics includes at least one energy emitter configured to emit energy onto a field-of-view that contains an individual, and at least one energy sensor configured to capture reflected energy from within the field-of-view. A spatial measurement module calculates spatial measurements of a surface portion of the body of the individual when the individual is either stationary or moving about in real-time, based on data from the energy sensor.

Abstract: Described herein are systems and methods for automatically detecting a behavior of a monitored individual, for example, that the individual has fallen. In certain embodiments, a system is presented that includes one energy sensor (e.g., a camera of a mobile electronic device) configured to capture reflected energy (e.g., light) within a field-of view; an optional lens to modify the distance or angular range of the field-of-view; and an optional image obfuscator to blur or distort the images received by the energy sensor, thereby preserving privacy. Techniques are described for determining spatial measurements and body measurements from the images and using these measurements to identify a behavior of the monitored individual, for example, a fall.

Abstract: A system for sizing and fitting an individual for apparel, accessories, or prosthetics includes at least one energy emitter configured to emit energy onto a field-of-view that contains an individual, and at least one energy sensor configured to capture reflected energy from within the field-of-view. A spatial measurement module calculates spatial measurements of a surface portion of the body of the individual when the individual is either stationary or moving about in real-time, based on data from the energy sensor.