Hybrid Control Interface of a Semi-soft Assistive Glove for People with Spinal Cord Injuries
| Autor: | Masayoshi Tomizuka, Robert Peter Matthew, Daisuke Kaneishi, Hannah S. Stuart, Bike Zhang, Julia O'Donnell, Jessica EnShiuan Leu |
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| Rok vydání: | 2019 |
| Předmět: |
030506 rehabilitation
0209 industrial biotechnology Reach and grasp Computer science Interface (computing) Posture Control (management) 02 engineering and technology Wrist Upper Extremity User-Computer Interface 03 medical and health sciences 020901 industrial engineering & automation Human–computer interaction medicine Humans Spinal Cord Injuries GRASP Healthy subjects Reproducibility of Results Self-Help Devices body regions medicine.anatomical_structure Gloves Protective 0305 other medical science Control methods |
| Zdroj: | ICORR |
| DOI: | 10.1109/icorr.2019.8779427 |
| Popis: | Active assistive devices have been designed to augment the hand grasping capabilities of individuals with spinal cord injuries (SCI). An intuitive bio-signal of wrist extension has been utilized in the device control, which imitates the passive grasping effect of tenodesis. However, controlling these devices in this manner limits the wrist joint motion while grasping. This paper presents a novel hybrid control interface and corresponding algorithms (i.e., a hybrid control method) of the Semi-soft Assistive Glove (SAG) developed for individuals with C6/C7-SCI. The secondary control interface is implemented to enable/disable the grasp trigger signal generated by the primary interface detecting the wrist extension. A simulation study reveals that the hybrid control method can facilitate grasping situations faced in daily activities. Empirical results with three healthy subjects suggest that the proposed method can assist the user to reach and grasp objects with the SAG naturally. |
| Databáze: | OpenAIRE |
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