GESTURE RECOGNITION BIOFEEDBACK

William Craelius (Inventor), Don Yungher (Inventor)

Research output: Innovation

Abstract


Invention Summary:

Grasping an object is one of the most fundamental activities of daily living. Unfortunately hand dexterity is usually impaired following stroke or traumatic brain injury. As anyone who has suffered a broken bone will attest, the lack of usage of the appendage leads to muscular atrophy. The lack of usage also tends to impede recovery; therefore, grasp training and usage of the muscle groups is a high priority for rehabilitation of the upper limbs.

Researchers at Rutgers University have developed a rehabilitation device for improving fine motor function in persons with brain injury. The Gesture Recognition Biofeedback (GRB) system reads and uses surface muscle pressures of the forearm to provide real-time visual biofeedback. Although some reports question the results of using Electromyography (EMG) biofeedback, many other studies have documented the efficacy of EMG biofeedback. Biofeedback from the EMGs of various muscles in the wrist and hand were shown to improve the wrist and finger extension of stroke subjects. This novel GRB biofeedback modality provides visual feedback that relays the accuracy of specific gestures rather than specific muscular activation amplitudes, and uses a simpler interface than the traditional systems. GRB was shown to be effective for short-term improvement of fine motor function of 12 impaired participants, reducing their average time to complete the Human Performance Technology by 16.1% ± 6.98%.

Market Application:

  • Device for improving fine motor function in persons with brain injury
  • Device for retraining fine motor function of the hand without the supervision of a clinician

Advantages:

  • Apparatus is easy to don by moderately impaired users
  • Does not require precise placement of sensors
  • Design advantages in utility over EMG biofeed-back
  • Visual feedback relays the accuracy of specific gestures
  • Uses a simpler interface
  • Real-time visual feedback during repetitive grasping tasks that yields acute improvement in a single session of training

Intellectual Property & Development Status:

Utility patent pending

Original languageEnglish (US)
StatePublished - Jul 2013

Fingerprint

Biofeedback
Gesture recognition
Electromyography
Muscle
Brain
Feedback
Patient rehabilitation
Intellectual property
Patents and inventions
Bone
Chemical activation
Recovery

Keywords

  • Device
  • therapeutic

Cite this

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title = "GESTURE RECOGNITION BIOFEEDBACK",
abstract = "Invention Summary: Grasping an object is one of the most fundamental activities of daily living. Unfortunately hand dexterity is usually impaired following stroke or traumatic brain injury. As anyone who has suffered a broken bone will attest, the lack of usage of the appendage leads to muscular atrophy. The lack of usage also tends to impede recovery; therefore, grasp training and usage of the muscle groups is a high priority for rehabilitation of the upper limbs. Researchers at Rutgers University have developed a rehabilitation device for improving fine motor function in persons with brain injury. The Gesture Recognition Biofeedback (GRB) system reads and uses surface muscle pressures of the forearm to provide real-time visual biofeedback. Although some reports question the results of using Electromyography (EMG) biofeedback, many other studies have documented the efficacy of EMG biofeedback. Biofeedback from the EMGs of various muscles in the wrist and hand were shown to improve the wrist and finger extension of stroke subjects. This novel GRB biofeedback modality provides visual feedback that relays the accuracy of specific gestures rather than specific muscular activation amplitudes, and uses a simpler interface than the traditional systems. GRB was shown to be effective for short-term improvement of fine motor function of 12 impaired participants, reducing their average time to complete the Human Performance Technology by 16.1{\%} ± 6.98{\%}. Market Application: Device for improving fine motor function in persons with brain injury Device for retraining fine motor function of the hand without the supervision of a clinician Advantages: Apparatus is easy to don by moderately impaired users Does not require precise placement of sensors Design advantages in utility over EMG biofeed-back Visual feedback relays the accuracy of specific gestures Uses a simpler interface Real-time visual feedback during repetitive grasping tasks that yields acute improvement in a single session of training Intellectual Property & Development Status: Utility patent pending",
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author = "William Craelius and Don Yungher",
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GESTURE RECOGNITION BIOFEEDBACK. / Craelius, William (Inventor); Yungher, Don (Inventor).

Research output: Innovation

TY - PAT

T1 - GESTURE RECOGNITION BIOFEEDBACK

AU - Craelius, William

AU - Yungher, Don

PY - 2013/7

Y1 - 2013/7

N2 - Invention Summary: Grasping an object is one of the most fundamental activities of daily living. Unfortunately hand dexterity is usually impaired following stroke or traumatic brain injury. As anyone who has suffered a broken bone will attest, the lack of usage of the appendage leads to muscular atrophy. The lack of usage also tends to impede recovery; therefore, grasp training and usage of the muscle groups is a high priority for rehabilitation of the upper limbs. Researchers at Rutgers University have developed a rehabilitation device for improving fine motor function in persons with brain injury. The Gesture Recognition Biofeedback (GRB) system reads and uses surface muscle pressures of the forearm to provide real-time visual biofeedback. Although some reports question the results of using Electromyography (EMG) biofeedback, many other studies have documented the efficacy of EMG biofeedback. Biofeedback from the EMGs of various muscles in the wrist and hand were shown to improve the wrist and finger extension of stroke subjects. This novel GRB biofeedback modality provides visual feedback that relays the accuracy of specific gestures rather than specific muscular activation amplitudes, and uses a simpler interface than the traditional systems. GRB was shown to be effective for short-term improvement of fine motor function of 12 impaired participants, reducing their average time to complete the Human Performance Technology by 16.1% ± 6.98%. Market Application: Device for improving fine motor function in persons with brain injury Device for retraining fine motor function of the hand without the supervision of a clinician Advantages: Apparatus is easy to don by moderately impaired users Does not require precise placement of sensors Design advantages in utility over EMG biofeed-back Visual feedback relays the accuracy of specific gestures Uses a simpler interface Real-time visual feedback during repetitive grasping tasks that yields acute improvement in a single session of training Intellectual Property & Development Status: Utility patent pending

AB - Invention Summary: Grasping an object is one of the most fundamental activities of daily living. Unfortunately hand dexterity is usually impaired following stroke or traumatic brain injury. As anyone who has suffered a broken bone will attest, the lack of usage of the appendage leads to muscular atrophy. The lack of usage also tends to impede recovery; therefore, grasp training and usage of the muscle groups is a high priority for rehabilitation of the upper limbs. Researchers at Rutgers University have developed a rehabilitation device for improving fine motor function in persons with brain injury. The Gesture Recognition Biofeedback (GRB) system reads and uses surface muscle pressures of the forearm to provide real-time visual biofeedback. Although some reports question the results of using Electromyography (EMG) biofeedback, many other studies have documented the efficacy of EMG biofeedback. Biofeedback from the EMGs of various muscles in the wrist and hand were shown to improve the wrist and finger extension of stroke subjects. This novel GRB biofeedback modality provides visual feedback that relays the accuracy of specific gestures rather than specific muscular activation amplitudes, and uses a simpler interface than the traditional systems. GRB was shown to be effective for short-term improvement of fine motor function of 12 impaired participants, reducing their average time to complete the Human Performance Technology by 16.1% ± 6.98%. Market Application: Device for improving fine motor function in persons with brain injury Device for retraining fine motor function of the hand without the supervision of a clinician Advantages: Apparatus is easy to don by moderately impaired users Does not require precise placement of sensors Design advantages in utility over EMG biofeed-back Visual feedback relays the accuracy of specific gestures Uses a simpler interface Real-time visual feedback during repetitive grasping tasks that yields acute improvement in a single session of training Intellectual Property & Development Status: Utility patent pending

KW - Device

KW - therapeutic

UR - http://rutgers.technologypublisher.com/tech/GESTURE_RECOGNITION_BIOFEEDBACK

M3 - Innovation

ER -

Craelius W, Yungher D, inventors. GESTURE RECOGNITION BIOFEEDBACK. 2013 Jul.