Prosthetic and/or orthotic devices (PODS), control systems for PODS and methods for controlling PODS are provided. As part of the control system, an inference layer collects data regarding a vertical and horizontal displacement of the POD, as well as an angle of the POD with respect to gravity during a gait cycle of a user of the POD. A processor analyzes the data collected to determine a locomotion activity of the user and selects one or more control parameters based on the locomotion activity. The inference layer may be situated between a reactive layer control module and a learning layer control module of the control system architecture.

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 foot assembly is disclosed. The assembly includes a pivoting ankle joint with a hydraulic system, a prosthetic foot connected to the distal side of the ankle joint, and, at the proximal side, the ankle joint includes a transducer with pyramid adaptor for attaching to a pylon. The ankle joint sensor provides data collection during the stance and optionally, the swing, phases of walking using, for example, strain gages and accelerometers. Also disclosed are methods for real-time feature extraction. Key parameters are captured to which are applied linear, fuzzy logic, neural net, or generic algorithms to determine current state (walking flat, uphill, downhill etc.) in real time and execute changes to the angle between the ankle and foot almost instantaneously based on those parameters.

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 powered prosthesis for providing volitional control of knee flexion during swing is configured to (i) determine that a swing phase has initiated, (ii) obtain a thigh angle based on the sensor data associated with a residual limb of a user, (iii) based on a time elapsed since initiation of the swing phase, and based on the thigh angle, determine a desired maximum knee flexion angle, (iv) during the swing phase, continuously update the desired maximum knee flexion angle using subsequent measurements of thigh angle and time elapsed since initiation of the swing phase, and (v) output a signal configured to cause actuation of the knee joint based on the desired maximum knee flexion angle.

A time-dependent decay behavior is incorporated into one or more joint actuator control parameters during operation of a lower-extremity, prosthetic, orthotic or exoskeleton device. These parameters may include joint equilibrium, joint impedance (e.g., stiffness, damping) and/or joint torque components (e.g., gain, exponent). The decay behavior may be exponential, linear, piecewise, or may conform to any other suitable function. Embodiments presented herein are used in a control system that emulates biological muscle-tendon reflex response providing for a natural walking experience. Further, joint impedance may depend on an angular rate of the joint. Such a relationship between angular rate and joint impedance may assist a wearer in carrying out certain activities, such as standing up and ascending a ladder.

Prosthetic and/or orthotic devices (PODS), control systems for PODS and methods for controlling PODS are provided. As part of the control system, an inference layer collects data regarding a vertical and horizontal displacement of the POD, as well as an angle of the POD with respect to gravity during a gait cycle of a user of the POD. A processor analyzes the data collected to determine a locomotion activity of the user and selects one or more control parameters based on the locomotion activity. The inference layer may be situated between a reactive layer control module and a learning layer control module of the control system architecture.

An orthosis or prosthesis system comprising at least one orthosis or prosthesis, at least one pair of electrodes for contacting the body of the user of the orthosis or prosthesis in order to capture muscle-related signals, at least one evaluation unit for muscle-related signals captured by the at least one electrode pair, at least one actuator for moving the at least one orthosis or prosthesis, and at least one control unit for controlling the at least one actuator. The at least one electrode pair is designed to capture at least a first muscle-related signal using a first measurement frequency and a second muscle-related signal using a second measurement frequency. The at least one evaluation unit evaluates a phase of the first signal and a phase of the second signal. The muscle-relates signals can be bioimpedance signals. The system makes it possible to distinguish between muscle contractions and interfering signals.

A time-dependent decay behavior is incorporated into one or more joint actuator control parameters during operation of a lower-extremity, prosthetic, orthotic or exoskeleton device. These parameters may include joint equilibrium, joint impedance (e.g., stiffness, damping) and/or joint torque components (e.g., gain, exponent). The decay behavior may be exponential, linear, piecewise, or may conform to any other suitable function. Embodiments presented herein are used in a control system that emulates biological muscle-tendon reflex response providing for Reflex Parameter Modulation a natural walking experience. Further, joint impedance may depend on an angular rate of the joint. Such a relationship between angular rate and joint impedance may assist a wearer in carrying out certain activities, such as standing up and ascending a ladder.

A system for control of a prosthetic device includes at least one Inertial Measurement Unit detecting orientation of a user's foot. The at least one Inertial Measurement Unit is in communication with a device module configured to command at least one actuator of a prosthetic device. The at least one Inertial Measurement unit sends output signals related to orientation of the user's foot to the device module and the device module controls the at least one actuator of the prosthetic device based on the signals from the at least one Inertial Measurement Unit.