Abstract: Systems, devices, and methods for identifying a region of interest are provided. A plurality of skeletal landmarks may be identified from an image received from an imaging device. A pose of a patient may be determined based on the plurality of skeletal landmarks. A region of interest may be identified on the patient based on the determined pose. Instructions may be automatically provided to the controller to adjust a pose of a surgical instrument relative to the region of interest. The plurality of skeletal landmarks may be tracked for movement. The region of interest may be updated when movement of the plurality of skeletal landmarks is detected.

Abstract: A system according to at least one embodiment of the present disclosure includes an imaging source; an imaging detector; a sensor coupled to at least one of the imaging source and imaging detector; and a controller that adjusts a relative position of the imaging source and the imaging detector based on an output of the sensor.

Abstract: A system according to at least one embodiment of the present disclosure includes an imaging source; an imaging detector; a depth sensor; and a controller, where the controller receives image information from the depth sensor, determines a gesture in relation to a working volume, and moves the imaging source and the imaging detector relative to the working volume based on the gesture.

Abstract: Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attack-mitigation operations or fraud-mitigation operations.

Abstract: A system for cutting bone is provided and may comprise a cutting tool configured to rotate and a shield. The system may also comprise a first robotic arm configured to hold the cutting tool and a second robotic arm configured to hold the shield. A processor and a memory storing instructions for execution by the processor that, when executed, may cause the processor to cause the second robotic arm to orient the shield proximate an anatomical element along a cutting path of the cutting tool.

Abstract: A system for cutting bone is provided and may comprise a cutting tool configured to rotate and a shield. The system may also comprise a first robotic arm configured to hold the cutting tool and a second robotic arm configured to hold the shield. A processor and a memory storing instructions for execution by the processor that, when executed, may cause the processor to cause the second robotic arm to orient the shield proximate an anatomical element along a cutting path of the cutting tool.

Abstract: Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, and detecting a cyber-attacker. A user utilizes a desktop computer, a laptop computer, a smartphone, a tablet, or other electronic device, to interact with a banking website or application, a retailer website or application, or other computerized service. Input-unit interactions are monitored, logged, and analyzed. Based on several types of analysis of the input-unit interactions, a score is generated to reflect fraud-relatedness or attack-relatedness of the input-unit interactions. Based on the score, the system estimates or determines whether the user is an attacker, and initiates attach-mitigation operations or fraud-mitigation operations.

Abstract: A device comprises at least one processor and a memory comprising instructions that when executed by the at least one processor cause the at least one processor to: generate a first signal that causes a vibration device to vibrate, the vibration device being in force-transmitting contact with a first anatomical element; receive, from a sensor, a second signal based on sensed vibration in a second anatomical element proximate the first anatomical element; and determine, based on the second signal, an amount of mechanical coupling between the second anatomical element and the first anatomical element.

Abstract: Systems and methods for accurate determination of the position of an anatomic part of a subject in robotic assisted image-based surgery, using an inertial measurement unit (IMU) to determine the position and orientation of the anatomical part of the subject. The intrinsic drift of the IMU, which would make the IMU position measurements inaccurate, can be reset to zero regularly, at points of time when the subject's body is stationary. This can be achieved when motion from the subject's breathing and from the heartbeat are essentially zero. Such positions occur respectively when the respiratory signal shows the position of the breathing cycle to be at the end of the expiration phase, and the heartbeat signal represents a time in the diastole period of the subject's electrocardiographic cycle. When these two signal moments coincide, the IMU is essentially stationary, and its drift reset to zero.

Abstract: Systems and methods for robotic retraction of tissues in a surgical field. Two retractor mechanisms are used on either side of an incision. Each retractor is adapted to be held by a robotic arm, which applies force on the retractor mechanism to pull dissected tissue away from the incision, thus revealing the operative field. A force sensor is employed to measure the force on the retractor, an optional tracking sensor may be used to measure the extent of tissue retraction in two or three dimensions, and both sources of information provided to the robotic controller. By monitoring feedback from either the force sensor or the tracking sensor, the system is able to maintain equal retraction on both sides of the incision. The retractor elements incorporate mechanisms that move down the tissue as the retractors are pulled laterally.

Abstract: System, method, and device of detecting identity of a user and authenticating a user; as well as detecting a possible attacker or impostor, and differentiating among users of an electronic device or of a computerized service. A mobile or portable electronic device is utilized to capture a self-taken image or video of a user, which is utilized as a user-authentication factor. The accelerometer and gyroscope or device-orientation sensor of the mobile device, sense and measure spatial and physical device properties during, before or after the submission of the self-taken image or video. Based on such spatial and physical device properties, in combination with computer-vision analysis of the content shown in the self-taken image or video, the system determines liveness of the user and freshness of the submitted self-taken image or video, and differentiates between a legitimate user and an attacker.

Abstract: Devices, systems, and methods of detecting whether an electronic device or computerized device or computer, is communicating with a computerized service or a trusted server directly and without an intermediary web-proxy, or indirectly by utilizing a proxy server or web-proxy. The system searches for particular characteristics or attributes, that characterize a proxy-based communication session or channel and that do not characterize a direct non-proxy-based communication session or channel; or conversely, the system searches for particular characteristics or attributes, that characterize a direct non-proxy-based communication session or channel and that do not characterize a proxy-based communication session or channel; and based on these characteristics, determines whether or not a proxy server exists and operates.

Abstract: Method, device, and system of detecting a lie of a user who inputs data. A method includes monitoring input-unit gestures and interactions of a user that inputs data through an electronic device; and based on analysis of the input-unit gestures and interactions, determining that the user has inputted false data through the electronic device. A particular fillable field, or a particular question, are identified as having untrue input from the user. Optionally, spatial orientation data of the electronic device is taken into account in the determination process. Optionally, contextual analysis is utilized, to determine that the input-unit gestures and interactions reflect an attempt of the user to perform a beautifying modification of a data-item to his benefit.

Abstract: Devices, systems, and methods of detecting user identity, authenticating a user to a computerized service or to an electronic device, differentiating between users of a computerized service, and detecting possible attackers or possible fraudulent transactions. A method includes: generating a user authentication session that requires a user to enter a secret by performing a task; monitoring the user interactions during task performance; extracting a user-specific behavioral characteristic, and utilizing it as a factor in user authentication. The task requires the user to perform on-screen operations via a touch-screen or touchpad or mouse or other input unit of the electronic device, or to move in space or tilt in space the entirety of the electronic device in a way that causes inputting of the secret data-item.

Abstract: Method, device, and system of detecting a mule bank account, or a bank account used for terror funding or money laundering. A method includes: monitoring interactions of a user with a computing device during online access with a bank account; and based on the monitoring, determining that the bank account is utilized as a mule bank account to illegally receive and transfer money, or is used for money laundering or terror funding. The method takes into account one or more indicators, such as, utilization of a remote access channel, utilization of a virtual machine or a proxy server, unique behavior across multiple different accounts, temporal correlation among operations, detection of a set of operations that follow a pre-defined mule account playbook, detection of multiple incoming fund transfers from multiple countries that are followed by a single outgoing fund transfer to a different country, and other indicators.

Abstract: System and method of collecting and processing data in electronic devices. A sensors data collector collects measurements from at least an accelerometer and a gyroscope of an electronic device. A data-loss prevention module operates to pass these measurements, immediately upon their collection, to a supplemental locally-running processing thread which retains the measurements even after a refresh of a web-page in which the measurements were collected, and which transmits the measurements to a remote server even after refresh of the web-page in which the measurements were collected. Non-global scope of functions is utilized, to reduce security exposure. An asynchronous SharedWorker module is utilized, to alleviate congestion of computing resources of the electronic device. Data obfuscation and encoding is utilized to maintain anonymity of user-entered data while still allowing a remote server to ensure the integrity of data received from the electronic device.

Abstract: Devices, systems, and methods of contextual mapping of web-page elements and other User Interface elements, for the purpose of differentiating between fraudulent transactions and legitimate transactions, or for the purpose of distinguishing between a fraudulent user and a legitimate user. User Interface elements of a website or webpage or application or other computerized service, are contextually analyzed. A first User Interface element is assigned a low fraud-relatedness score-value, since user engagement with the first User Interface element does not create a security risk or a monetary exposure. A second, different, User Interface element is assigned a high fraud-relatedness score-value, since user engagement with the second User Interface element creates a security risk or a monetary exposure.

Abstract: Devices, systems, and methods of detecting user identity, authenticating a user to a computerized service or to an electronic device, differentiating between users of a computerized service, and detecting possible attackers or possible fraudulent transactions. A method includes: generating a user authentication session that requires a user to enter a secret by performing a task; monitoring the user interactions during task performance; extracting a user-specific behavioral characteristic, and utilizing it as a factor in user authentication. The task requires the user to perform on-screen operations via a touch-screen or touchpad or mouse or other input unit of the electronic device, or to move in space or tilt in space the entirety of the electronic device in a way that causes inputting of the secret data-item.

Abstract: Method, device, and system of detecting a mule bank account, or a bank account used for terror funding or money laundering. A method includes: monitoring interactions of a user with a computing device during online access with a banking account; and based on the monitoring, determining that the online banking account is utilized as a mule bank account to illegally receive and transfer money. The method takes into account one or more indicators, such as, utilization of a remote access channel, utilization of a virtual machine or a proxy server, unique behavior across multiple different account, temporal correlation among operations, detection of a set of operations that follow a pre-defined mule account playbook, detection of multiple incoming fund transfers from multiple countries that are followed by a single outgoing fund transfer to a different country, and other suitable indicators.

Abstract: Devices, systems, and methods of detecting a vishing attack, in which an attacker provides to a victim step-by-step over-the-phone instructions that command the victim to log-in to his bank account and to perform a dictated banking transaction. The system monitors transactions, online operations, user interactions, gestures performed via input units, speed and timing of data entry, and user engagement with User Interface elements. The system detects that the operations performed by the victim, follow a pre-defined playbook of a vishing attack.