Prosthetic devices, such as prosthetic hands (including, e.g., bionic prosthetic hands controlled by myoelectric signals and/or equipped with force sensors for feedback) can utilize a modular design to simplify assembly and repair. In some embodiments, low-cost additive manufacturing techniques are employed, e.g., to create prosthetic device parts with complex interior geometries and/or functionally integrated components.

A system for control of a device includes at least one sensor module detecting orientation of a user's body part. The at least one sensor module is in communication with a device module configured to command an associated device. The at least one sensor module detects orientation of the body part. The at least one sensor module sends output signals related to orientation of the user's body part to the device module and the device module controls the associated device based on the signals from the at least one sensor module.

A prosthetic device comprising: a limb or artificial joint or orthosis or exoskeleton comprising a mechanism provided with at least an actuator and configured to carry out one or more actions; a supplying source; at least an input source modulated by the contraction of one or more muscles of the subject wearing the device, comprising at least an electrode; electronic computing means, characterized in that on said computing means computer programs are loaded configured to carry out the method comprising the steps of: recording the signals (Ns) detected subdividing each of said signals extracting from the signal relative to each of the time intervals calculating a statistical estimator for each feature calculated repeating the steps associating a vector defined by the set of the values of the features calculated.

A prosthesis socket having a proximal insertion opening and an inner circumference which at least partially surrounds a limb stump, at least one connection device for a prosthesis component, which is connectable to the prosthesis sockets at least one actuator operable to change the inner circumference of the prosthesis socket, and at least one sensor coupled to a control device, wherein the control device is connected to the actuator and activates or deactivates same, depending on the received sensor signals, and to a method for adjusting the inner circumference.

An autonomous wearable leg device employs an array of sensors embedded along a support area, whereby a controller can generate a controlling command and send a controlling command to a prosthetic, orthotic, exoskeletal or wearable component to thereby control the prosthetic, orthotic, exoskeletal or wearable component. A method for controlling autonomous wearable device collects kinetic signals from an array of sensors embedded in a prosthetic, orthotic or exoskeletal component, wherein all values are extracted from at least one feature of the collected kinetic signals, which are applied to a controller that generates a controlling command that is sent to the prosthetic, orthotic exoskeletal component to thereby control the prosthetic, orthotic or exoskeletal component during a portion of a gait cycle.

A method for manufacturing an orthopedic product for a body part of a patient is disclosed, the method comprising the following steps: a) providing body-part data containing information about an internal structure of the body part, b) detecting a current line of vision from which a user of the method sees the body part, c) displaying the body part data from the current line of vision by means of the display device so that the user sees the body part and the body part data superimposed, d) generating production data for the orthopedic device on the basis of the displayed data and e) providing an orthopedic product manufactured on the basis of the production data.

An artificial foot and ankle joint consists of a curved leaf spring foot member having a heel extremity and a toe extremity, and a flexible elastic ankle member that connects the foot member for rotation at the ankle joint. An actuator motor applies torque to the ankle joint to orient the foot when it is not in contact with the support surface and to store energy in a catapult spring that is released along with the energy stored in the leaf spring to propel the wearer forward. A ribbon clutch prevents the foot member from rotating in one direction beyond a predetermined limit position. A controllable damper is employed to lock the ankle joint or to absorb mechanical energy as needed. The controller and sensing mechanisms control both the actuator motor and the controllable damper at different times during the walking cycle for level walking, stair ascent, and stair descent.

A system for control of a device includes at least one sensor module detecting orientation of a user's body part. The at least one sensor module is in communication with a device module configured to command an associated device. The at least one sensor module detects orientation of the body part. The at least one sensor module sends output signals related to orientation of the user's body part to the device module and the device module controls the associated device based on the signals from the at least one sensor module.

A prosthetic device control apparatus includes at least one sensor worn by a user. The sensor(s) determines a user's movement. A control module is in communication with the sensor(s). The control module communicates movement information to a prosthetic. A method for controlling a prosthetic device includes sensing a user's movement, communicating the movement through a control module to a prosthetic device; and controlling the movement of a prosthetic device.

Various embodiments of the present technology generally relate to robotics and prosthetics. More specifically, some embodiments of the present technology relate to multi-modal fingertip sensors with proximity, contact, and for localization capabilities. Various embodiments of the present technology provide for a novel multi-modal tactile sensor which comprises an infrared proximity sensor and a barometric pressure sensor embedded in an elastomer layer. Signals from both of these sensors can be fused to measure proximity (0-10 mm), contact (0N), force (0-50N) and localize impact at five spatial locations and three angles of incidence. Gaussian processes in a regression setting can be used to obtain calibrated force measurements with an R-squared value of 0.99. Supervised machine learning approaches can be used to localize the position and direction of probing with classification accuracies of 96% and 89% respectively.