Abstract: A control system for controlling tension applied to a lace cable coupled to a support structure of an adaptive support garment is discussed herein. The control system can include a lace spool, a damper mechanism, and a locking ring. The lace spool can include a lace groove to receive the lace cable and a rotary bias member to apply rotational tension to resist extension of the lace cable out of a housing holding the control system. The damper mechanism is engagable with the lace spool to generate an additional rotational tension resisting extension of the lace cable out of the housing. The locking ring is frictionally coupled to the lace spool, and the locking ring can include a lock wedge adapted to disengage the damper mechanism upon rotation into a pre-determined rotational position relative to the damper mechanism.

Abstract: A system, apparatus, and method to monitor an event associated with a person and report the event as a tokens to other devices or to a central server.

Abstract: An article of apparel providing dynamic support for an appendage of a person is discussed herein. The article of apparel can include a support garment control device configured to provide dynamic support. The support garment control device can include a control lace coupled to a support portion of the article of apparel. In an example, the support garment control device configured to apply a first tension on the control lace, lock the support garment control device at the first tension to inhibit movement of the control lace in response to detecting a change in movement of the person, and unlock the support garment control device after a pre-determined event subsequent to the change in movement of the person.

Abstract: A person under monitoring (PUM) in a sensor-enabled environment (SEE) is monitored by a plurality of sensors that produce monitoring data. Based on the monitoring data, an agent is deployed or reconfigured. The deployed or reconfigured agent is configured to carry out various actions, which may include activating or reconfiguring further agents, and engaging with, prompting, or otherwise assisting the PUM.

Abstract: The present invention relates to a system for providing route guidance through a waterway to a user. The system comprises: an interface comprising a plurality of display elements, the display elements being configured to: display a map of the waterway and surrounding area; receive an origin and a destination on the waterway from the user; display a control enabling the user to request route guidance from the origin to the destination through the waterway; display on the map of the waterway a plurality of routes taken between the origin and destination by a plurality of corresponding navigators; identify at least one of the plurality of routes taken by at least one of the plurality of navigators having local knowledge of the waterway; and display at least one recommended route from the origin to the destination.

Abstract: A control system for controlling tension applied to a lace cable coupled to a support structure of an adaptive support garment is discussed herein. The control system can include a lace spool, a damper mechanism, and a locking ring. The lace spool can include a lace groove to receive the lace cable and a rotary bias member to apply rotational tension to resist extension of the lace cable out of a housing holding the control system. The damper mechanism is engagable with the lace spool to generate an additional rotational tension resisting extension of the lace cable out of the housing. The locking ring is frictionally coupled to the lace spool, and the locking ring can include a lock wedge adapted to disengage the damper mechanism upon rotation into a pre-determined rotational position relative to the damper mechanism.

Abstract: A system, apparatus, and method to monitor an event associated with a person and report the event as a tokens to other devices or to a central server.

Abstract: Automated anomaly detection and response generation in a sensor-enabled environment (SEE) may be provided via measuring, via a plurality of sensors disposed in a SEE, state information of the SEE and a person under monitoring (PUM) within the SEE; identifying, using the state information, an in-progress behavior affecting the PUM in the SEE; identifying an intended outcome of the in-progress behavior; predicting, using the state information and the in-progress behavior, a predicted outcome of the in-progress behavior; and in response to identifying that a difference between the intended outcome and the predicted outcome represents an actionable risk level for health, wellness or safety of the PUM: identifying a responsive action to the in-progress behavior to reduce the actionable risk level to the PUM; and performing the responsive action.

Abstract: A system can include a valve cap that is positioned above an opening of a sterilization container, the opening of the sterilization container being sized to receive the valve cap. The system includes a valve frame that is affixed to a lid of the sterilization container, and an electro-permanent magnet (EPM) assembly that is releasably and magnetically coupled to the valve cap, the EPM assembly being configured to orient the valve cap in an open configuration via a magnetic field and orient the valve cap in a closed configuration by neutralizing the magnetic field in response to receiving an electrical current.

Abstract: Personalized Physics Engines (PPE) are provided via personalizing a musculoskeletal representation for a person under monitoring (PUM) for care according to a Health Care Plan (HCP) to represent a movement capability of the PUM; receiving data from a sensor enabled environment (SEE) to identify behaviors of the PUM in the SEE; identifying an intent for a first series of performed behaviors of the PUM; modeling a series of predicted behaviors of the PUM via the PPE based on the intent and a current behavior of the PUM; identifying a second series of performed behaviors of the PUM; identifying a variation between the second series of performed behaviors and the series of predicted behaviors that satisfies an actionable threshold; in response to identifying that the variation satisfies the actionable threshold, engaging a hardware device associated with the SEE identified based on at least one of the intent and the variation.

Abstract: Machine learning for aggregating and evaluating data from a sensor enabled environment (SEE) may be provided by receiving first sensor data from a (SEE in which a person under monitoring (PUM) is monitored, wherein the first sensor data are received from a first configuration of the SEE, wherein the SEE comprises environmental sensors and an artificial intelligence or machine learning (AI/ML) model; identifying, via the AI/ML model analyzing the first sensor data, a first behavioral, health, wellness, or safety (BHWS) event occurring in the SEE affecting the PUM; in response to identifying the first BHWS event, reconfiguring how the SEE monitors the PUM from the first configuration to a second configuration based on the first BHWS event; receiving second sensor data from the SEE according to the second configuration; and identifying, via analysis of the second sensor data, a second BHWS event occurring in the SEE affecting the PUM.

Abstract: A system, apparatus, and method to monitor at least one person in at least one environment. The environment includes at least two sensors capable of detecting the presence of a person in that environment. The person under monitoring has a care condition to be monitored, where such monitoring involves the at least two sensors providing data sets to at least one signal monitoring system. Such data sets are communicated to at least one digital twin representing the person under monitoring and their environment, such that patterns of behavior may be determined for that person. Such patterns may be represented in the at least one digital twin, as to detect behavior that indicates a change in the care condition of that person under monitoring.

Abstract: An optical fiber housing comprises a first face, a second face opposite the first face, a first side, and a second side opposite the first side. The first face is spaced apart from the second face by a first distance. A plurality of optical fibers extends in a longitudinal direction between the first and second faces, and are laterally spaced apart across a transverse width of the first face between the first side and the second side. Each optical fiber comprises a diameter. A surface of the housing is orthogonal to the first face and the first side. A plurality of alignment features is on the surface stand off from a remainder of the surface by a height greater than the diameter. The alignment features extend a second distance in the longitudinal direction that is less than the first distance, and comprises a curved or V-shaped peripheral surface.

Abstract: Embodiments disclosed herein include an apparatus with a first substrate, and a groove in a surface of the first substrate. In an embodiment, a fiber is in the groove, and a second substrate is over the first substrate and the fiber. In an embodiment, a porous metallic material is provided between the first substrate and the second substrate.

Abstract: Various aspects of the present disclosure generally relate to an apparatus and methods for coupling a fiber array unit to an optical die. The apparatus may include an optical die, that may include a plurality of grooves. The apparatus may include a plurality of optical fibers, arranged in the plurality of grooves. The apparatus may include a lid that may include a first surface and a second surface, opposite the first surface, wherein the second surface is non-parallel to the first surface, and an adhesive layer between the optical die and the second surface of the lid.

Abstract: The present invention relates to a system for providing route guidance through a waterway to a user. The system comprises: an interface comprising a plurality of display elements, the display elements being configured to: display a map of the waterway and surrounding area; receive an origin and a destination on the waterway from the user; display a control enabling the user to request route guidance from the origin to the destination through the waterway; display on the map of the waterway a plurality of routes taken between the origin and destination by a plurality of corresponding navigators; identify at least one of the plurality of routes taken by at least one of the plurality of navigators having local knowledge of the waterway; and display at least one recommended route from the origin to the destination.

Abstract: Machine learning for aggregating and evaluating data from a sensor enabled environment (SEE) may be provided by receiving training data from at least one SEE related to behavioral, health, wellness, and safety (BHWS) events affecting at least one person under monitoring (PUM); developing a language of wellness (LoW) syntax for a linguistic artificial intelligence or machine learning (AI/ML) model by aligning the BHWS events with a pattern framework indicative of behaviors of the PUM; training the linguistic AI/ML model based on occurrences of the BHWS events in the training data and the LoW syntax such that the linguistic AI/ML model is configured to: generate a predicted BHWS event based on a series of behaviors observed for a particular PUM in a particular SEE; and generate a predictive alert in response to identifying that the predicted BHWS event disobeys the LoW syntax.

Abstract: Localized machine learning for monitoring with data privacy may be provided via receiving for monitoring a particular person under monitoring (PUM) in a particular sensor enabled environment (SEE), an artificial intelligence or machine learning (AI/ML) model, the AI/ML model including sensor settings and activity patterns for monitoring a PUM in a SEE; localizing the AI/ML model as an edge AI/ML model; monitoring sensor data from the sensors to monitor the particular PUM; identifying candidate next states for the particular PUM and SEE based on the current state and the activity patterns; in response to a next state occurring, locally updating the activity patterns to create a localized activity pattern of the particular PUM; in response to the next state not matching at least one candidate next state of the candidate next states based on the localized activity pattern, generating an alert.

Abstract: Methods of generating upstream cradle-to-gate carbon footprints for physical products based on minimal user inputs, and associated systems and devices are disclosed herein. In some embodiments, a representative method of generating a carbon footprint for a product to be manufactured at a source location and transported to a destination location includes decomposing the product into constituent materials, components, and/or processes. The method can further include matching the constituent materials, components, and/or processes to at least one database of emission factors, and extracting the emissions factors for the constituent materials, components, and/or processes. The method can further include generating a probabilistic supply chain mapping of the constituent materials and/or components from upstream source locations to the source location, and adjusting the emissions factors based on the probabilistic supply chain mapping.