Interactive exoskeleton robotic knee system

1. An interactive exoskeleton knee system comprising:

an exoskeleton framework having a thigh support, a shank support, a thigh mechanical support and a shank mechanical support;

at least one motion sensor mounted on the exoskeleton framework;

at least one force sensor attached on a foot piece or inside of a shoe;

a motor for rotating the shank mechanical support from the thigh mechanical support to generate an assistant power for a knee joint;

a mechanical lock system connected the thigh mechanical support and the shank mechanical support to provide mechanical support;

a control box connected with the at least one motion sensor and the at least one force sensor for providing power and signal communication, and sending control command to the motor and the mechanical lock system; and

a control algorithm, executed by the control box, for using collected data from the at least one motion sensor and the at least one force sensor to identify a walking environment based on a gait analysis, and for driving the knee joint by the motor and locking the knee joint by the mechanical lock system according to a gait pattern based on the walking environment;

wherein the at least one motion sensor comprises a gyroscope and an accelerometer, and the control algorithm is further for using data detected by the at least one motion sensor for identifying a walking speed; and

wherein the control algorithm is further used for identifying the walking speed when a loading force detected by the at least one force sensor drops below a loading force threshold, an angular velocity detected by the gyroscope is larger than an angular velocity threshold, and an acceleration detected by the accelerometer is larger than an acceleration threshold, and classifying the walking environment.

2. The interactive exoskeleton knee system according to claim 1 , wherein the motor aligns with a knee joint center on a lateral or a medial side of a user's leg.

3. The interactive exoskeleton knee system according to claim 1 , wherein the mechanical lock system aligns with a knee joint center on a lateral or a medial side of a user's leg.

4. The interactive exoskeleton knee system according to claim 1 , wherein the at least one force sensor is placed on a heel area of the foot piece or the inside of the shoe to detect initial contact timing, or is placed on a forefoot area of the foot piece or the inside of the shoe to detect toe-off timing.

5. The interactive exoskeleton knee system according to claim 1 , wherein the walking environment is over-ground walking, stair ascend, stair descend, slopes or sit-to-stand motion.

6. The interactive exoskeleton knee system according to claim 1 , further comprising a length adjustable mechanism allowing an individual adjustment of the thigh support and the shank support.

7. A method for gait training of a user implemented by the interactive exoskeleton knee system of claim 1 , the method comprising:

when a loading force detected by the at least one force sensor drops below a loading force threshold, an angular velocity detected by the gyroscope is larger than an angular velocity threshold, and an acceleration detected by the accelerometer is larger than an acceleration threshold, identifying the walking speed based on the control algorithm;

classifying the walking environment as walking, stair ascend, or stair descend based on the gait analysis; and

generating a motor control profile based on the walking speed identified.

8. A method for gait training of a user implemented by the interactive exoskeleton knee system of claim 1 , the method comprising:

if the at least one force sensor is loaded,

activating knee lock and performing knee motor extension such that the user stands up and the mechanical lock system passively supports knee extension;

otherwise, deactivating the knee lock and performing knee motor control to assist walking.

9. The interactive exoskeleton knee system according to claim 1 , wherein the motor is a torque controlled servo motor.

10. The interactive exoskeleton knee system according to claim 1 , wherein the mechanical lock system is an electromechanical lock system.

11. The interactive exoskeleton knee system according to claim 1 , further comprising an external or internal power supply which is located within the control box.

12. The interactive exoskeleton knee system according to claim 1 , wherein the at least one motion sensor is attached to the thigh support or the shank support of the exoskeleton framework.

13. The interactive exoskeleton knee system according to claim 1 , wherein the at least one force sensor detects a foot contact pattern during a gait cycle.

14. The interactive exoskeleton knee system according to claim 1 , further comprising a wireless control system.

15. The interactive exoskeleton knee system according to claim 1 , wherein the mechanical lock system is for locking the knee joint during a stance phase and unlocking the knee joint during a swing phase.

16. A method for gait training of a user implemented by an interactive exoskeleton knee system,

the interactive exoskeleton knee system comprising:

an exoskeleton framework having a thigh support, a shank support, a thigh mechanical support and a shank mechanical support;

at least one motion sensor mounted on the exoskeleton framework;

at least one force sensor attached on a foot piece or inside of a shoe;

a motor for rotating the shank mechanical support from the thigh mechanical support to generate an assistant power for a knee joint;

a mechanical lock system connected the thigh mechanical support and the shank mechanical support to provide mechanical support;

a control box connected with the at least one motion sensor and the at least one force sensor for providing power and signal communication, and sending control command to the motor and the mechanical lock system; and

a control algorithm, executed by the control box, for using collected data from the at least one motion sensor and the at least one force sensor to identify a walking environment based on a gait analysis, and for driving the knee joint by the motor and locking the knee joint by the mechanical lock system according to a gait pattern based on the walking environment;

wherein the at least one motion sensor comprises a gyroscope and an accelerometer, and the control algorithm is further for using data detected by the at least one motion sensor for identifying a walking speed;

the method comprising:

when a loading force detected by the at least one force sensor drops below a loading force threshold, an angular velocity detected by the gyroscope is larger than an angular velocity threshold, and an acceleration detected by the accelerometer is larger than an acceleration threshold, identifying the walking speed based on the control algorithm;

classifying the walking environment as walking, stair ascend, or stair descend based on the gait analysis; and

generating a motor control profile based on the walking speed identified.