Abstract: Embodiments described herein relate to systems and methods for an individualized intervention to generate and provide wellness pattern aware interventions. The system generates digital instructions and output for an online web application, device hosted application, smart device, or similar system. In one embodiment, the system provides the individualized intervention that matches device capacity, user context, and the best intervention type for a multi feel state longitudinal journey over a multi-day duration.

Abstract: The disclosure provides an optical device for enhancing the well-being of a wearer. The optical device includes a frame, at least one lens connected to the frame, at least one filter configured to engage with the at least one lens, at least one second filter configured to engaged with the at least one lens, and a modulating mechanism in communication with the frame, the at least one lens, the at least one first filter and/or the at least one second filter for modulating the at least one first filter and the at least one second filter. The at least one first filter attenuates light at wavelengths in the visible blue light spectral region. The at least one second filter attenuates light at wavelengths of the visible spectral region outside of the visible blue light spectral region.

Abstract: The disclosure provides methods and systems for determining an emotional fitness metrics for users. A physiological parameter of the user is measured during a group activity using at least one biosensor to acquire a measured signal. The measured signal of the user is compared to a measured signal for the physiological parameter of one or more additional users as measured when the one or more additional users perform the group activity. An emotional connectivity may be calculated based on a synchronicity of the measured signal of the user with the measured signal of the one or more additional users, as well as a cognitive appraisal metric, a resilience metric and an emotional fitness metric. Connectivity values for user pairings for a group activity can be computed based a synchronicity in a time-series correlation for the physiological parameters for permutations of the user pairings for the group activity.

Abstract: The disclosure provides methods and systems for determining an emotional fitness metrics for users. A physiological parameter of the user is measured during a group activity using at least one biosensor to acquire a measured signal. The measured signal of the user is compared to a measured signal for the physiological parameter of one or more additional users as measured when the one or more additional users perform the group activity. An emotional connectivity may be calculated based on a synchronicity of the measured signal of the user with the measured signal of the one or more additional users, as well as a cognitive appraisal metric, a resilience metric and an emotional fitness metric. Connectivity values for user pairings for a group activity can be computed based a synchronicity in a time-series correlation for the physiological parameters for permutations of the user pairings for the group activity.

Abstract: The disclosure provides methods and systems for determining an emotional fitness metrics for users. A physiological parameter of the user is measured during a group activity using at least one biosensor to acquire a measured signal. The measured signal of the user is compared to a measured signal for the physiological parameter of one or more additional users as measured when the one or more additional users perform the group activity. An emotional connectivity may be calculated based on a synchronicity of the measured signal of the user with the measured signal of the one or more additional users, as well as a cognitive appraisal metric, a resilience metric and an emotional fitness metric. Connectivity values for user pairings for a group activity can be computed based a synchronicity in a time-series correlation for the physiological parameters for permutations of the user pairings for the group activity.

Abstract: The disclosure provides an optical device for enhancing the well-being of a wearer. The optical device includes a frame, at least one lens connected to the frame, at least one filter configured to engage with the at least one lens, at least one second filter configured to engaged with the at least one lens, and a modulating mechanism in communication with the frame, the at least one lens, the at least one first filter and/or the at least one second filter for modulating the at least one first filter and the at least one second filter. The at least one first filter attenuates light at wavelengths in the visible blue light spectral region. The at least one second filter attenuates light at wavelengths of the visible spectral region outside of the visible blue light spectral region.

Abstract: There is described a system for providing an interface with personalized products or product recommendations by capturing user data with sensors and computing a physical and/or emotional signature of the user. The user data comprises at least image data, text input, biometric data, and audio data, and may have been captured using one or more sensors on the user device. The user data is processed using at least: facial analysis; body analysis; eye tracking; behavioural analysis; social network analysis; location analysis; user's activities analysis; speech analysis, and text analysis. Based on the user data, one or more states of one or more cognitive-affective competencies of the user may be determined. An is determined, based on the one or more states of the one or more cognitive-affective competencies of the user. Based on the physical and/or emotional signature, one or more personalized products or product recommendations are generating for improving the emotional signature or physical signature.

Abstract: The disclosure provides methods for determining a wellness metric for a user. A physiological condition of the user is measured during a number of time intervals using at least one biosensor to acquire a measured signal and the measured signal is transferred to a processing unit. Inputs from the user regarding emotional state and activity can be requested and an emotional state input and an activity input are recorded into a memory unit. The measured signal and the activity input are analyzed to generate a stress value and the emotional state input is analyzed to generate a mood value. The wellness metric for the user is determined based on the stress value and the mood value and a recommendation is provided to the user of activities for improving the wellness metric.

Abstract: Aqueous nutritional supplement formulations are described for promoting joint health and for providing a beneficial effect against degenerative joint conditions in companion animals, particularly, dogs and cats by delivering via oral ingestion a nutritional supplement comprising an effective amount of ascorbic acid, suitably bioavailable magnesium and manganese salts and an amino acid in a nutritionally acceptable carrier.