Abstract: A method for facilitating a Parkinson's Disease (“PD”) assessment of a patient includes capturing first video of a patient performing first test movements while holding the mobile device; capturing second video of the patient performing second test movements while maintaining the mobile device on their person; capturing third video of the patient performing third test movements including standing and walking; capturing one or more IMU readings using an IMU of the mobile device; processing the first video, the second video, and the third video according to (i) a hand landmark model to generate one or more hand biomarkers, (ii) a face landmark model to generate one or more face biomarkers, and (iii) a body landmark model to generate one or more body biomarkers; and determining an assessment score based on a standardized PD assessment by processing the biomarkers.

Abstract: Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.

Abstract: A method for facilitating a Parkinson's Disease (“PD”) assessment of a patient includes capturing first video of a patient performing first test movements while holding the mobile device; capturing second video of the patient performing second test movements while maintaining the mobile device on their person; capturing third video of the patient performing third test movements including standing and walking; capturing one or more IMU readings using an IMU of the mobile device; processing the first video, the second video, and the third video according to (i) a hand landmark model to generate one or more hand biomarkers, (ii) a face landmark model to generate one or more face biomarkers, and (iii) a body landmark model to generate one or more body biomarkers; and determining an assessment score based on a standardized PD assessment by processing the biomarkers.

Abstract: A handheld tool includes a handle; an implement mount configured to detachably accept and to rigidly hold a user-assistive implement; an actuator assembly mounted to the handle to physically manipulate the implement mount relative to the handle; a first sensor disposed to sense an orientation of the handle; a second sensor disposed to sense an orientation of the user-assistive implement; a controller disposed in or on the handle and coupled to the actuator assembly and the first and second sensors; and memory coupled to the controller. The memory stores instructions for identifying a type of the user-assistive implement attached to the implement mount, selecting a behavior routine based upon the type of the user-assistive implement identified, and manipulating the user-assistive implement relative to the handle according to the behavior routine to aid performance of a task with the handheld tool.

Abstract: Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used are described. The method may include measuring, with a first inertial measuring unit (“IMU”), at least an orientation of a housing of the handheld tool, and measuring, with a second IMU, at least an orientation or an attachment arm extending from the housing of the handheld tool. The method may also include storing the orientation of the housing and the orientation of the attachment arm in a memory. Furthermore, the method may include controlling, with a processing logic, a first motion generating mechanism and a second motion generating mechanism to move the attachment arm relative to the housing based on the measured orientation of the housing and the measured orientation of the attachment arm to stabilize motion of a user-assistive device attached to a distal end of the attachment arm.

Abstract: Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used by the user are described. The method may include detecting motion of a handle of the handheld tool manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool. Furthermore, the method may include storing the detected motion in a memory of the handheld tool as motion data. The method may also include controlling, based on the motion data, a motion-generating mechanism of the handheld tool that moves the attachment arm relative to the handle in a degree of freedom.

Abstract: Embodiments are disclosed of an adapter for coupling an implement to a tremor cancellation platform. The adapter includes a first section attached to the tremor cancellation platform, the first section comprising an elongated tapered key having a base and a tip, the base having a greater transverse dimension than the tip and the base being attached to the tremor cancellation platform. The adapter also includes a second section coupled to the implement, the second section including a tapered cavity sized and shaped to receive the first section, and a latch to lock the second section onto the first section.

Abstract: A handheld tool includes a handle for holding by a user, an attachment arm extending from the handle that is configured to connect to a user-assistive device, a first inertial measurement unit (“IMU”) mounted to the attachment arm to acquire measurements of one or more of a motion or an orientation of the user-assistive device and to generate feedback data indicative of the measurements, an actuator assembly coupled to manipulate the user-assistive device via the attachment arm in at least two orthogonal dimensions, and a motion control system coupled to receive the feedback data from the first IMU and coupled to provide commands to the actuator assembly to provide auto-leveling of the user-assistive device to a frame of reference while the user manipulates the handheld tool.

Abstract: A handheld tool includes a handle; an implement mount configured to detachably accept and to rigidly hold a user-assistive implement; an actuator assembly mounted to the handle to physically manipulate the implement mount relative to the handle; a first sensor disposed to sense an orientation of the handle; a second sensor disposed to sense an orientation of the user-assistive implement; a controller disposed in or on the handle and coupled to the actuator assembly and the first and second sensors; and memory coupled to the controller. The memory stores instructions for identifying a type of the user-assistive implement attached to the implement mount, selecting a behavior routine based upon the type of the user-assistive implement identified, and manipulating the user-assistive implement relative to the handle according to the behavior routine to aid performance of a task with the handheld tool.

Abstract: A handheld tool includes a handle; an implement mount configured to detachably accept and to rigidly hold a user-assistive implement; an actuator assembly mounted to the handle to physically manipulate the implement mount relative to the handle; a first sensor disposed to sense an orientation of the handle; a second sensor disposed to sense an orientation of the user-assistive implement; a controller disposed in or on the handle and coupled to the actuator assembly and the first and second sensors; and memory coupled to the controller. The memory stores instructions for identifying a type of the user-assistive implement attached to the implement mount, selecting a behavior routine based upon the type of the user-assistive implement identified, and manipulating the user-assistive implement relative to the handle according to the behavior routine to aid performance of a task with the handheld tool.

Abstract: Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.

Abstract: A technique for measuring and collecting human tremor data includes measuring motions of a handheld tool manipulated by a user while performing a task with the handheld tool. The motions are measured using an inertial measurement unit (“IMU”) disposed within a handle of the handheld tool. Motion data of the motions is recorded to a motion log stored within a memory unit of the handheld tool. The motion data contains information for determining a severity of tremors that occurred while the user performed the task with the handheld tool. The motion log is communicated to a remote server for analysis.

Abstract: An apparatus, system and process for tracking and analyzing target person movements, captured while the target person is performing ordinary tasks outside of a medical context, for medical diagnosis and treatment review are described. The method may include constructing a model of a target person from three-dimensional (3D) image data of the target person performing an activity over a period of time. The method may also include tracking movement of the model of the target person in the 3D image data over the period of time, and detecting one or more motion features in the movement of the model of the target person that are relevant to diagnosis, treatment, care, or a combination thereof, of a potential chronic neurodegenerative or musculoskeletal medical condition. The method may also include computing a risk score associated with likelihood of the target person having the medical condition based on the detected motion features.

Abstract: Systems and methods for tracking unintentional high amplitude muscle movements of a user and stabilizing a handheld tool are described. The method may include detecting motion of a housing of the handheld tool when manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool, and storing the detected motion in a memory of the handheld tool as motion data. Furthermore, the method may include controlling a first motion generating mechanism and a second motion generating mechanism by generating a first motion signal and a second motion signal that respectively drive the first motion generating mechanism in a first degree of freedom and the second motion generating mechanism in a second degree of freedom to stabilize motion of the user-assistive device attached to the attachment arm of the handheld tool.

Abstract: An apparatus, system and process for measuring, tracking, and analyzing unintentional muscle movements associated with upper body freezing of a user while using a handheld tool are described. The method may include receiving signals from a motion sensor of a handheld tool, the signals indicating motions of the handheld tool when used by a user during an activity. The method may also include analyzing the motions of the handheld tool. The method may also include detecting motions of the handheld tool having one or more predetermined characteristics. Furthermore, the method can include determining that the user experienced an upper extremity freezing while using the handheld tool during the activity based on the detected one or more predetermined characteristics.

Abstract: Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used by the user are described. The method may include detecting motion of a handle of the handheld tool manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool. Furthermore, the method may include storing the detected motion in a memory of the handheld tool as motion data. The method may also include controlling, based on the motion data, a motion-generating mechanism of the handheld tool that moves the attachment arm relative to the handle in a degree of freedom.

Abstract: A handheld tool includes a handle; an implement mount configured to detachably accept and to rigidly hold a user-assistive implement; an actuator assembly mounted to the handle to physically manipulate the implement mount relative to the handle; a first sensor disposed to sense an orientation of the handle; a second sensor disposed to sense an orientation of the user-assistive implement; a controller disposed in or on the handle and coupled to the actuator assembly and the first and second sensors; and memory coupled to the controller. The memory stores instructions for identifying a type of the user-assistive implement attached to the implement mount, selecting a behavior routine based upon the type of the user-assistive implement identified, and manipulating the user-assistive implement relative to the handle according to the behavior routine to aid performance of a task with the handheld tool.

Abstract: Systems and methods for tracking unintentional muscle movements of a user and stabilizing a handheld tool while it is being used by the user are described. The method may include detecting motion of a handle of the handheld tool manipulated by a user while the user is performing a task with a user-assistive device attached to an attachment arm of the handheld tool. Furthermore, the method may include storing the detected motion in a memory of the handheld tool as motion data. The method may also include controlling, based on the motion data, a motion-generating mechanism of the handheld tool that moves the attachment arm relative to the handle in a single degree of freedom in a direction of the detected motion of the handle.

Abstract: A handheld tool includes a handle for holding by a user, an attachment arm extending from the handle that is configured to connect to a user-assistive device, a first inertial measurement unit (“IMU”) mounted to the attachment arm to acquire measurements of one or more of a motion or an orientation of the user-assistive device and to generate feedback data indicative of the measurements, an actuator assembly coupled to manipulate the user-assistive device via the attachment arm in at least two orthogonal dimensions, and a motion control system coupled to receive the feedback data from the first IMU and coupled to provide commands to the actuator assembly to provide auto-leveling of the user-assistive device to a frame of reference while the user manipulates the handheld tool.

Abstract: An electronic connector includes a first connecting unit. The first connecting unit includes a housing having a ring hole disposed through the housing large enough for a finger to be inserted through the ring hole to grab the first connecting unit, a first electrical connector shaped for forming a first detachable electrical connection, the first electrical connector disposed at a first distal end of the first connecting unit, and an illuminator disposed within the housing proximate to the ring hole to illuminate an inside perimeter of the ring hole.