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Human-Centered Innovations

Human-Centered Innovations

Aptima’s most innovative products and services are the result of innovative technical solutions

Grouped under the Human-Centered Innovations™ brand, the resulting novel products and services allow Aptima to uniquely provide services to our customers

Human-Centered Innovations reflect Aptima’s products and services directed at capturing and building on innovative technologies developed by the Aptima team. These technologies are directed at business management solutions, engineering, and R&D solutions, as well as software products and services. Typically protected by a core of patents or other intellectual property, these Human-Centered Innovations products and services can easily be used to help solve the needs of our clients.

Examples of business and technical areas where these Human-Centered Innovations have been directed in the past include:

  • Human Factors Engineering
  • Cognitive Sciences
  • Artificial Intelligence
  • Computer-Based Training and Simulations
  • Big Data Analysis
  • Network/Data Pattern Matching
  • Social Networking and Analytics
  • Training Support Systems
  • Decision Support Systems

Examples of some of the technologies included in Aptima’s Human-Centered Innovations products and services include the patents listed below.

If you are interested in more information regarding Aptima’s Human-Centered Innovations products or services, please engage us at Patent@Aptima.com or ask for the Intellectual Property group at 781-935-3966.


Aptima’s Patents

Patents are listed in descending order, with most recent patents at the top.


Patent # 10,552,764
Title: Systems and methods for automated learning
Issue Date: 2/4/2020
Inventors: Carlin

Abstract: A computer implemented systems and methods for determining an action for a user within a learning domain are disclosed, some embodiments of the methods comprise defining an initial learning model of a learning domain, determining an initial user state of the user, determining an initial user action from at least one learning domain action with the initial learning model, receiving a user observation of the user after the user executes the initial user action, determining an updated user state with the initial learning model given the updated user observation and determining a subsequent user action from the at least one learning domain action. Some embodiments utilize a Partially Observable Markov Model (POMDP) as the learning model.


Patent # 10,438,156
Title: Systems and methods to provide training guidance
Issue Date: 10/8/2019
Inventors: Swanson, Reynolds, Garrity, Poeppelman, Keeney, Carlin, Dumond, Marc

Abstract: Systems and methods to provide a training solution for a trainee are disclosed. In some embodiments the method comprises receiving a training requirement comprising a training outcome and a training configuration wherein the training configuration defines a trainee state, determining a training environment based on a relevancy function of the training environment to the training outcome, determining a training content based on a relationship function of the training content to the trainee state and determining a training solution comprising the training environment and the training content. In some embodiments, the relationship function comprises a POMDP model and the relevancy function comprises a best fit curve.


Patent # 10,431,106
Title: Systems and methods to measure performance – large entity 
Issue Date: 10/1/2019
Inventors: Tolland, Zuzack

Abstract: A performance measurement system is provided utilizing an architecture configured to efficiently merge and monitor different types of performance data. Connectors are provided to receive and translate different types of performance data from different sources. The performance data is translated into and stored in a common data model format. In some embodiments, key attributes are defined for each of the performance data sources that uniquely characterizes each relevant performance data so that is can be parsed into separate processing streams to increase system performance. The key attributes also act as cues to organize the performance data as it is being merged so that it can be accessed without requiring a specific source data linkage. Using model listeners, determinations can be quickly made regarding when performance data is changed to reduce calculations necessary to determine measure values. Some embodiments merge different types of performance data in real-time.


Patent # 10,290,221
Title: Systems and methods to customize student instruction
Issue Date: 5/14/2019
Inventors: Stacy, Carlin, Dean, Ward

Abstract: A computer implemented systems and methods for determining an action for a user within a learning domain are disclosed, some embodiments of the methods comprise defining an initial learning model of a learning domain, determining an initial user state of the user, determining an initial user action from at least one learning domain action with the initial learning model, receiving a user observation of the user after the user executes the initial user action, determining an updated user state with the initial learning model given the updated user observation and determining a subsequent user action from the at least one learning domain action. Some embodiments utilize a Partially Observable Markov Model (POMDP) as the learning model.


Patent # 10,265,008
Title: User state estimation systems and methods
Issue Date: 4/23/2019
Inventors: Durkee, Pappada, Ortiz, DePriest, Feeney, Geyer, Sullivan, Wiggins

Abstract: Computer based systems and methods for estimating a user state are disclosed. In some embodiments, the methods comprise inputting a first input at an intermittent interval and a second input at a frequent interval into a user state estimation model to estimate the user state. In some embodiments, the first inputs are enhanced by injecting a noise input to create a plurality of enhanced first inputs whereby the plurality of enhance first inputs correspond to the plurality of second inputs at the frequent interval. In some embodiments, the first input comprises a self-reported input and the second inputs comprise a physiological input, a performance input or a situational input. In some embodiments, a machine learning algorithm creates the state estimation model. In some embodiments, the state estimation model estimates a future user state. In some embodiments, a computer based system for estimating a user state is provided.


Patent # 10,179,287
Title: Systems and methods for scenario generation and monitoring
Issue Date: 1/15/2019
Inventors: Stacy, Sullivan, Keskin, Picciano

Abstract: Processor based systems and methods of defining a scenario event comprising the steps of identifying an event having an event attribute and generalizing the event attribute to define a generalized event whereby the generalized event is the scenario event. In some embodiments, the steps further comprise identifying a first and second event, generalizing a first and second event attribute to define a first and second generalized event and connecting the first and second generalized event in a continuous envelope to create a scenario envelope. Processor based systems and methods of monitoring an activity comprising the steps of monitoring an activity having an activity attribute and comparing the activity attribute to an event envelope to determine a status of the activity relative to the event envelope.


Patent # 10,140,582
Title: Systems and methods of cognitive patterns knowledge generation
Issue Date: 11/27/2018
Inventors: Stacy, Geyer

Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed.  The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input.  In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern. 


Patent # 9,965,725
Title: Systems and methods of power management 
Issue Date: 5/8/2018
Inventors: Hering, Zakin, Levchuk, Schurr

Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.


Patent # 9,917,739
Title: System and methods for network pattern matching
Issue Date: 3/13/2018
Inventors: Levchuk, Stacy, Shabarekh

Abstract: Example embodiments of systems and methods for network pattern matching provide the ability to match hidden networks from noisy data sources using probabilistic multi-attribute graph matching analysis. The algorithms may map roles and patterns to observed entities. The outcome is a set of plausible network models. The pattern-matching methodology of these systems and methods may enable the solution of three challenges associated wit social network analysis, namely network size and complexity, uncertain and incomplete data, and dynamic network structure.


Patent # 9,594,825 diagram for #9594825
Title: Systems and methods for analyzing entity profiles
Issue Date: 3/14/2017
Inventors: Skarin, Duchon, DeJordy, Richard, Allopenna

AbstractEmbodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity’s attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a shareable index of the attributes of the entities and the group of entities.


Patent # 9,293,054 diagram for #9293054
Title: Systems and methods to react to environmental input
Issue Date: 3/22/2016
Inventors: Bruni, Chang, Carlin, Marc, Swanson, Pratt, Mizrahi

Abstract: Computer implemented systems and methods of communicating a system reaction to environmental input comprising receiving environmental input, determining a hazard state and a user state from the environmental input, determining a system reaction from the hazard state and the user state and communicating the system reaction to a user interface. In some embodiments, the system reaction comprises a system reaction level and in some embodiments the system reaction level corresponds to a stage of automation. In some embodiments, the user interface is a multimodal interface and in some embodiments the user interface is a haptic interface.


Patent # 9,177,259 diagram for #9177259
Title: Systems and methods for recognizing and reacting to spatiotemporal patterns
Issue Date: 11/3/2015
Inventors: Levchuk

Abstract: Embodiments of the disclosed systems and methods comprise systems and methods for recognizing actions of an object and matching those actions with expected patterns of actions. In some embodiments, the methods recognize actions using statistical classifiers and aggregate data about locomotions, actions, and interactions of the object to infer patterns of that object using a pattern recognition algorithm. In some embodiments, the systems and methods are further able to select responses to recognized patterns and learn patterns over time.


Patent # 9,165,254 diagram for #9165254
Title: Method and system to predict the likelihood of topics
Issue Date: 10/20/2015
Inventors: Duchon, McCormack, Salter, Allopenna, Weil, Colonna-Romano, Kramer

Abstract: The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.


Patent # 9,123,022 diagram for #9123022
Title: Systems and methods for analyzing entity profiles
Issue Date: 9/1/2015
Inventors: Skarin, Duchon, Allopenna, Dejordy

Abstract: Embodiments of the subject invention comprise a computer based system and methods to collect and compare the attributes of a group of entities using data representing topic data of the entity and interaction data between entities. Embodiments of the invention comprise using minimally invasive means to automatically collect and model both an entity’s attributes such as their knowledge/work/interest as well as model the social interactions of the entity together with a means to identify opportunities to influence changes in the entity attributes. Minimally invasive means to collect and model attributes include semantic analysis and topic modeling techniques. Means to model social interactions include social network analysis techniques that can incorporate location data of the entity. Embodiments of the invention further provide a sharable index of the attributes of the entities and the group of entities.


Patent # 9,058,561 diagram for #9058561
Title: Systems and methods of cognitive patterns knowledge generation
Issue Date: 6/16/2015
Inventors: Stacy, Geyer

Abstract: A processor based system and method of generating cognitive pattern knowledge of a sensory input is disclosed. The method comprising the steps of receiving sensory input to create at least one concrete pattern, receiving at least one abstract pattern comprising abstract segments and vertically blending the concrete pattern with the abstract pattern by selectively projecting abstract segments to create a vertically blended pattern whereby the vertically blended pattern represents cognitive pattern knowledge of the sensory input. In some embodiments, the systems and methods further comprise creating a measure of a degree of vertical blending and when the measure of the degree of vertical blending exceeds a threshold, horizontally blending at least two abstract patterns to create a horizontally blended abstract pattern.


Patent # 8,909,950 diagram for #8909950
Title: Systems and methods of power management
Issue Date: 12/9/2014
Inventors: Levchuk,  Schurr, Hering, Zakin

Executive Summary: A novel middleware application to extend the battery life of a computer device.  The application monitors the patterns of user interactions with the device to understand the current and predicted activities of the user and dynamically manages the power settings and application priorities to extend battery life.  Particularly applicable to mobile phones, tablet devices and laptops.

Abstract: A method for power management comprising inferring a user behavior from an action, inferring a mission state from the action and an event, forecasting a forecasted action from the user behavior and the mission state and outputting an instruction to modify a power resource allocation based on the forecasted action. A processor based assembly for power management of at least one device comprising a means to infer a user behavior from an action, a means to infer a mission state from the action and an event, a means to forecast and a means to plan power management from the inferred information. In some embodiments, the systems and methods apply pattern recognition algorithms and pattern learning algorithms to manage the power allocation to power consuming devices.


Patent # 8,781,989 diagram for #8781989
Title: Method and system to predict a data value
Issue Date: 7/15/2014
Inventors: Duchon

Executive Summary: A novel way of modeling the reactions of one person (receiver) to a communications signal from another person, avatar or display (communicator) so that hidden traits and/or tendencies of the receiver can be uncovered. Particularly applicable to image based sentiment, emotion and reaction analysis.

Abstract: Embodiments of the present invention include methods and systems for predicting the likelihood of topics appearing in a set of data such as text. A number of latent variable methods are used to convert the data into a set of topics, topic values and topic profiles. A number of time-course methods are used to model how topic values change given previous topic profiles, or to find historical times with similar topic values and then projecting the topic profile forward from that historical time to predict the likelihood of the topics appearing. Embodiments include utilizing focus topics, such as valence topics, and data representing financial measures to predict the likelihood of topics. Methods and systems for modeling data and predicting the likelihood of topics over other dimensions are also contemplated.


Patent # 8,655,822diagram for #8655822
Title: Probabilistic decision making system and methods of use
Issue Date: 2/18/2014
Inventors: Levchuk, Georgiy, Freeman, Jared, Shebilske, Wayne

Executive Summary: A novel use of mathematical models to automatically and efficiently select a training program for a student. The models automatically recognize the “state” of the student as well as properties of the training and selects the most efficient next step in the training process for the student. Particularly applicable to online and computer based training programs.

Abstract: Embodiments of this invention comprise modeling a subject’s state and the influence of training scenarios, or actions, on that state to create a training policy. Both state and effects of actions are modeled as probabilistic using Partially Observable Markov Decision Process (POMDP) techniques. The POMDP is well suited to decision-theoretic planning under uncertainty. Utilizing this model and the resulting training policy with real world subjects creates a surprisingly effective decision aid for instructors to improve learning relative to a traditional scenario selection strategy. POMDP provides a more valid representation of trainee state and training effects, thus it is capable of producing more valid recommendations concerning how to structure training to subjects.


Patent # 8,407,173 diagram for #8407173
Title: System and method for comparing system features
Issue Date: 3/26/2013
Inventors: Estock, McCormack, Stelzer, Engel, Alexander Horrey

Executive Summary: A novel way of automatically relating the features of a system to the objective of the system. Particularly applicable to complex systems such as training simulators.

Abstract: Embodiments of the disclosed systems and methods establish quantitative relationships between system features and system objectives. In some embodiments, the features have a plurality of feature values related to the objective and the methods comprise analyzing a mathematical functional relationship between the plurality of feature values and the objective to create a plurality of objective values reflecting the ability of the feature values to satisfy the objective, selecting a feature value and analyzing the relationship to create an objective value; and generating an objective measure reflecting the objective value. In some embodiments, the mathematical function comprises a polynomial interpolation. In some embodiments, the features are a fidelity dimension and the feature values are values of fidelity in a processor based aircraft simulator.


Patent # 8,407,026 diagram for #8407026
Title: Systems and methods for quantifying reactions to communications
Issue Date: 3/26/2013
Inventors: Schlicht

Executive Summary: A novel way of modeling the reactions of one person (receiver) to a communications signal from another person, avatar or display (communicator) so that hidden traits and/or tendencies of the receiver can be uncovered. Particularly applicable to image based sentiment, emotion and reaction analysis.

Abstract: Embodiments of methods and systems are described that provide methods for quantifying an entity’s reaction to one or more communication signals by quantifying a probabilistic relationship between the communication signal and a known relationship of an attribute to the communication signal. With this quantification, the entity’s reaction can be modeled as probability distributions that can be compared to the communication signal and known relationship. With this information, an entity’s reactions can be compared to an ideal algorithm that optimally integrates the known relationships and communication signals to arrive at an optimal reaction. By making this comparison between the entity’s reaction and an optimal reaction, a quantitative calibration measure can be determined. The meaning of the communication signals, or relationships to an attribute, may or may not be known and in embodiments the quantification of reactions can provide an ability to estimate an unknown attribute from the communication signals.


Patent # 8,180,777 diagram for #8180777
Title: Method and system to compare data objects
Issue Date: 5/15/2012
Inventors: Duchon, Andrew, Kelton, Kari, Foster, Pacey, Orvis, Kara, Mccormack, Robert

Executive Summary: A novel way of automatically determining optimal teams from a group of individuals.  Particularly applicable to distributed and online teaming environments.

Abstract: The present invention relates in general to methods and systems for comparing and maximizing the optimal selection of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, methods and systems are provided that apply topic modeling and similarity metrics to determine the optimal selection. In one embodiment, methods and systems are provided to determine the appropriateness of a set of second data objects to satisfy the requirements of a first data object given interaction attributes. Embodiments may be used to compare mission requirements with potential team members to determine the appropriateness of team members and teams for a given mission based on interaction attributes of the team members and teams.


Patent # 7,822,750 diagram for #7822750
Title: Method and system to compare data entities
Issue Date: 10/26/2010
Inventors: Duchon, Kelton, Foster, Orvis

Executive Summary: A novel way of automatically determining optimal teams from a group of individuals.  Particularly applicable to distributed and online teaming environments.

Abstract: The present invention relates in general to methods and systems for comparing and maximizing the appropriateness of a first set of one or more data objects to a set of second data objects. In one embodiment, the first set of data objects represent one or more tasks to be fulfilled by a set of capabilities represented by the second data objects. In one embodiment, this invention provides an effective and accurate method and system to compare and maximize the appropriateness between the requirements of a task and the second set’s capabilities, while these capabilities and requirements are contained, even if only latently, in data objects such as written documents, electronic databases or other sources of data and information. In one embodiment, topic modeling techniques are utilized to compare the data objects.