Game-based sensorimotor rehabilitator

Patent metadata

Field	Value
Publication number	US-10299738-B2
Application number	US-201514942971-A
Country	US
Kind code	B2
Filing date	Nov 16, 2015
Priority date	May 16, 2013
Publication date	May 28, 2019
Grant date	May 28, 2019

Abstract

Treatment of neurological injury through motor relearning. A game-based sensorimotor rehabilitator that enables individuals to interact with the functional objects using the appropriate amount of force, tilt, finger movement, and muscle activity to regain lost skill due to injury.

First claim

What is claimed:

1. A computer-implemented machine for training or rehabilitating, comprising:
a base having one or more load force sensors for receiving force from one or more grasping objects;
a glove having two or more grip force sensors;
a processor; and
a tangible computer-readable medium operatively connected to the processor and including computer code configured to:
receive information from the one or more load force sensors and the two or more grip force sensors; and
determine a change in load force and determine a grip force exerted through the glove,
wherein the base further comprises a coaster configured to receive the one or more grasping objects.

2. The computer implemented machine of claim 1 , wherein the computer code is further configured to determine if the change in load force and the group force are each within an identified range of acceptable states and if not, send information to a feedback mechanism to provide corrective feedback.

3. The computer-implemented machine for training or rehabilitating of claim 1 , further wherein the coaster comprises a first leg, a second leg, and a third leg, and wherein the one or more load force sensors comprise a first load force sensor associated with the first leg, a second load force sensor associated with the second leg, and a third load force sensor associated with the third leg.

4. The computer-implemented machine for training or rehabilitating of claim 1 , further comprising a capacitive sensor associated with the base and configured to start the computer-implemented machine.

5. The computer-implemented machine for training or rehabilitating of claim 1 , further comprising computer code configured to receive an initial load information from the one or more load force sensors and determining a weight of the one or more objects associated with the base.

Assignees

• Univ New York

Inventors

• Raghavan Preeti
• Kapila Vikram

Classifications

• A61B5/1125

  Grasping motions of hands · CPC title

• A63F13/428

  involving motion or position input signals, e.g. signals representing the rotation of an input controller or a player's arm motions sensed by accelerometers or gyroscopes · CPC title

• A63B2071/0661

  arranged on the user · CPC title

• A63B23/1245

  Primarily by articulating the shoulder joint (A63B23/129 takes precedence) · CPC title

• A63B2225/20

  with means for remote communication, e.g. internet or the like · CPC title