Abstract: A curved scissor linkage mechanism (1) includes at least four linkage elements (2) each having a first end (3) and a second end (4). The linkage elements are arranged to form sides of one or more rhombi or parallelograms. Each linkage element is rotationally connected to another linkage elements via a revolute joint (5) at the first end and is rotationally connected to another one of the other linkage elements via another revolute joint at the second end. The linkage elements are configured so that the axes of each joint coincide at one common remote centre of motion. The mechanism is connectable to a first external member (7) at a proximal end and is rotationally connectable to a second external member (9) at an opposite distal end to obtain three DOFs. The scissor linkage mechanism may further include a motion controlling mechanism.

Abstract: A curved scissor linkage mechanism (1) includes at least four linkage elements (2) each having a first end (3) and a second end (4). The linkage elements are arranged to form sides of one or more rhombi or parallelograms. Each linkage element is rotationally connected to another linkage elements via a revolute joint (5) at the first end and is rotationally connected to another one of the other linkage elements via another revolute joint at the second end. The linkage elements are configured so that the axes of each joint coincide at one common remote centre of motion. The mechanism is connectable to a first external member (7) at a proximal end and is rotationally connectable to a second external member (9) at an opposite distal end to obtain three DOFs. The scissor linkage mechanism may further include a motion controlling mechanism.

Abstract: A device and method for human intention detection Sensor Band (HID). In preferred embodiments, it makes use of an array of force sensing resistors (FSRs) which are embedded inside a flexible band, which is capable of reading the muscle activity for different motion type and muscle forcein a human user. In one implementation of the invention two of such bands are attached to the forearm and the upper arm. From the readings of the sensors, the patterns for motion type and muscle force are then distinguished autonomously by machine learning, a Support Vector Machine (SVM) algorithm, or a neural network. The method is advantageous e.g. the detection of dexterous motion of the arms, upon which assistive exoskeleton can be controlled for motion assistance. The invention can also be applicable to hand gestures recognition and bilateral rehabilitation, besides this the invention can be used to control lower body exoskeleton as well.