Abstract: The disclosure is directed to apparatus and methods for detection of out of position (OOP) components in a carrier tape forming machine. An apparatus includes cross track sensors coupled to the bus interface circuitry, the cross track sensors configured to detect OOP components prior to overlaying the components on the carrier tape with cover tape, optical sensors to detect the OOP components on the carrier tape after overlaying with cover tape and prior to sealing and to detect reflections from OOP components seated on the carrier tape, an amplifier coupled to the optical sensors to amplify signals generated by the optical sensors and set a range for determining whether the components are OOP, and relays to receive indications of detected OOP components, and a controller coupled to the relays to stop the carrier tape forming machine as a function of signals received by the relays.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: A method and system for detecting bioelectrical signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting one or more reference signal datasets; collecting, at the one or more sensors, one or more bioelectrical signal datasets referenced to a combined reference signal dataset; and extracting one or more bioparameters from the one or more bioelectrical signal datasets.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: A method and system for providing and aggregating bioelectrical signal data comprising: providing a stimulus configured to prompt an action in both a first user and a second user; at a first biosignal detector and a second biosignal detector, automatically collecting a first bioelectrical signal dataset from the first user as the first user performs the action and a second bioelectrical signal dataset from the second user as the second user performs the action; generating a first anonymized bioelectrical signal dataset from the first bioelectrical signal dataset and a second anonymized bioelectrical signal dataset from the second bioelectrical signal dataset; coupling the first and the second anonymized bioelectrical signal datasets with an action tag characterizing the action; and generating an analysis based upon the first the second anonymized bioelectrical signal datasets. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: A variation of a method for collecting and processing bioelectrical signals includes: establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; monitoring contact characteristics of the one or more sensors based on bioelectrical signals detected at the one or more sensors; and providing feedback to the user based on the contact characteristics. A variation of a system for collecting and processing bioelectrical signals includes a set of sensors (e.g., electrodes) and a processing subsystem configured process the set of bioelectrical signals.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.

Abstract: A method and system for instructing a user behavior change comprising: collecting a first and a second bioelectrical signal dataset; generating an analysis based upon the first and the second bioelectrical signal datasets; and providing a behavior change suggestion to the user based upon the analysis. The method can further comprise collecting a third bioelectrical signal dataset associated with a performance of an action by the user in response to the behavior change suggestion; generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets; providing a stimulus configured to prompt an action by the user; and providing at least one of the analysis and an analysis based upon the adherence metric to the user. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

Abstract: A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

Abstract: A system for detecting bioelectrical signals of a user comprising: a set of sensors configured to detect bioelectrical signals from the user, each sensor in the set of sensors configured to provide non-polarizable contact at the body of the user; an electronics subsystem comprising a power module configured to distribute power to the system and a signal processing module configured to receive signals from the set of sensors; a set of sensor interfaces coupling the set of sensors to the electronics subsystem and configured to facilitate noise isolation within the system; and a housing coupled to the electronics subsystem, wherein the housing facilitates coupling of the system to a head region of the user.

Abstract: A method and system for instructing a user behavior change comprising: collecting a first and a second bioelectrical signal dataset; generating an analysis based upon the first and the second bioelectrical signal datasets; and providing a behavior change suggestion to the user based upon the analysis. The method can further comprise collecting a third bioelectrical signal dataset associated with a performance of an action by the user in response to the behavior change suggestion; generating an adherence metric based upon the third bioelectrical signal dataset and at least one of the first and the second bioelectrical signal datasets; providing a stimulus configured to prompt an action by the user; and providing at least one of the analysis and an analysis based upon the adherence metric to the user. An embodiment of the system comprises a biosignal detector and a processor configured to implement an embodiment of the method.

Abstract: This patent mentioned the synthesis of new metal-organic framework based on hexameric titanium-oxo cluster. The novel material, termed MOF-902, was successfully synthesized and its crystal structure uncovered the 2-Dimensional (2D) layer structure generated by the link of trigonal prism Ti6O6(OMe)(—COO)6 clusters and imine linear linking units. The permanent porosity of MOF-902 is 400 m2 g?1. The band gap energy of this material was found to be 2.5 eV which is suitable to catalyze the polymerization reaction of methacrylate monomers under visible irradiation.

Abstract: One variation of a method for modeling neurological development includes: aggregating electroencephalography (EEG) data that comprise multiple EEG signals of each user in a set of users, EEG signals of each user recorded on multiple distinct dates, the set of users comprising a plurality of users of various known neurological statuses; identifying a synchronization pattern trend within the EEG data of the set of users; and correlating the synchronization pattern trend with neurological development within the set of users.

Abstract: A variation of a method for collecting and processing bioelectrical signals includes: establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; monitoring contact characteristics of the one or more sensors based on bioelectrical signals detected at the one or more sensors; and providing feedback to the user based on the contact characteristics. A variation of a system for collecting and processing bioelectrical signals includes a set of sensors (e.g., electrodes) and a processing subsystem configured process the set of bioelectrical signals.

Abstract: A method and system for detecting bioelectrical signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting one or more reference signal datasets; collecting, at the one or more sensors, one or more bioelectrical signal datasets referenced to a combined reference signal dataset; and extracting one or more bioparameters from the one or more bioelectrical signal datasets.

Abstract: A method and system for detecting bioelectrical signals and audio signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting, at the one or more sensors, one or more bioelectrical signal datasets; collecting one or more reference signal datasets; collecting, at a microphone of the biomonitoring neuroheadset, an audio signal dataset; and generating a combined audio and bioelectrical signal processed dataset, including producing a noise-reduced bioelectrical signal dataset, and producing a conditioned audio signal dataset.

Abstract: A method and system for detecting bioelectrical signals and audio signals from a user, including establishing bioelectrical contact between a user and one or more sensors of a biomonitoring neuroheadset; collecting, at the one or more sensors, one or more bioelectrical signal datasets; collecting one or more reference signal datasets; collecting, at a microphone of the biomonitoring neuroheadset, an audio signal dataset; and generating a combined audio and bioelectrical signal processed dataset, including producing a noise-reduced bioelectrical signal dataset, and producing a conditioned audio signal dataset.