Abstract: There is provided a method of indirectly estimating muscle strength ratio, comprising: receiving images and associated body part locations of a target individual, wherein the images depict the target individual performing a first and a second defined movement, identifying first image(s) depicting the first defined movement, and obtaining an associated first set of body part locations, identifying second image(s) depicting the second defined movement, and obtaining an associated second set of body part locations, computing a first image-metric according to the first set of body part locations, computing a second image-metric according to the second set of body part locations, computing an image-parameter according to the first and second image-metrics, and converting the image-parameter to an estimate of a measured-parameter indicative of strength measurement ratio of the target muscle(s) obtained by a dynamometer, according to correlation between image-parameters and measured-parameters obtained based on the

Abstract: There is provided a method of indirectly estimating muscle strength ratio, comprising: receiving images and associated body part locations of a target individual, wherein the images depict the target individual performing a first and a second defined movement, identifying first image(s) depicting the first defined movement, and obtaining an associated first set of body part locations, identifying second image(s) depicting the second defined movement, and obtaining an associated second set of body part locations, computing a first image-metric according to the first set of body part locations, computing a second image-metric according to the second set of body part locations, computing an image-parameter according to the first and second image-metrics, and converting the image-parameter to an estimate of a measured-parameter indicative of strength measurement ratio of the target muscle(s) obtained by a dynamometer, according to correlation between image-parameters and measured-parameters obtained based on the

Abstract: Systems and methods are provided herein for generating personalized timeline-based feeds to a user. A computer-implemented method for generating feeds to a user may be provided. The method may include generating a timeline comprising a plurality of milestones and needs associated with an event, and providing the feeds based on community wisdom. The feeds may be provided for each milestone on the time-line specific to the user, and may be configured to address the user's needs at each milestone.

Abstract: Systems and methods are provided herein for generating personalized timeline-based feeds to a user. A computer-implemented method for generating feeds to a user may be provided. The method may include generating a timeline comprising a plurality of milestones and needs associated with an event, and providing the feeds based on community wisdom. The feeds may be provided for each milestone on the time-line specific to the user, and may be configured to address the user's needs at each milestone.

Abstract: Systems and methods are provided herein for generating personalized timeline-based feeds to a user. A computer-implemented method for generating feeds to a user may be provided. The method may include generating a timeline comprising a plurality of milestones and needs associated with an event, and providing the feeds based on community wisdom. The feeds may be provided for each milestone on the time-line specific to the user, and may be configured to address the user's needs at each milestone.

Abstract: Systems and methods are provided herein for generating personalized timeline-based feeds to a user. A computer-implemented method for generating feeds to a user may be provided. The method may include generating a timeline comprising a plurality of milestones and needs associated with an event, and providing the feeds based on community wisdom. The feeds may be provided for each milestone on the time-line specific to the user, and may be configured to address the user's needs at each milestone.

Abstract: Method and system enabling a user to select a data element out of a set of available data elements through the use of a hierarchical view (e.g. a tree). Whenever the user needs to choose a data element, the system collects the descriptions of all data elements that are both available and relevant in accordance with the specific use from a set of available data elements through the use of a hierarchical view. The tree represents each entity (data element) as a node and the properties of each entity as sub-nodes under it, possibly grouped into property groups represented as tree nodes. The system hides all implementation aspects of the data structure from the user—selection of the required value causes the underlying system to automatically perform all required actions in order to retrieve, calculate or search for the desired data element.

Abstract: Method and system enabling a user to select a data element out of a set of available data elements through the use of a hierarchical view (e.g. a tree). Whenever the user needs to choose a data element, the system collects the descriptions of all data elements that are both available and relevant in accordance with the specific use from a set of available data elements through the use of a hierarchical view. The tree represents each entity (data element) as a node and the properties of each entity as sub-nodes under it, possibly grouped into property groups represented as tree nodes. The system hides all implementation aspects of the data structure from the user—selection of the required value causes the underlying system to automatically perform all required actions in order to retrieve, calculate or search for the desired data element.