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Myoelectric prosthetic hand for research (Ohand-Direct)

연구자용 인공지능 인공손(Ohand-Direct) - 연구자를 위한 근전전동의수
Ohand(OYmotion)

Features

Artificial hand that perfectly mimics the structure and movement characteristics of the human hand (27 motions in total)
Supports up to 8-channel EMG
Lower cost compared to conventional biomimetic artificial hands
Motion implementation through EMG measurement
Motion intent recognition and artificial hand control using AI algorithms
Motion control available through a dedicated app
EMG threshold adjustment available through the dedicated app
In the dedicated app, two modes are available, and three grip motions can be set for each mode
Mode switching is possible by pressing the button on the back of the hand
Manual wrist rotation available
Battery life: 12 hours (internal)
Continuous use enabled with a dedicated USB-C charging port

API

Researcher-developed motion recognition algorithms can be directly used as input signals
Desired hand movements can be implemented by researchers
Dedicated API and UART communication board provided
Basic 2-channel EMG electrodes provided / (Optional) 8-channel EMG electrodes

Specification

Specification
Parameters
Max Time to Open
≤ 1.0 Second
Max Time to Close
≤ 1.0 Second
Max Single Finger Tip Force
≥ 0.45 KG
Max Thumb Finger Tip Force
≥ 1.1 KG
Max Tripod Tip Force
≥ 1.1 KG
Max Static Load (hook grip)
30 KG
Max individual Finger Load (hook)
6 KG
Max Finger Tip Extenstion Load
5 KG
엄지위치
인공지능 근전도 전동의수(OHand) - 외형소개
인공지능 근전도 전동의수(OHand) - 엄지위치

Lateral mode

인공지능 근전도 전동의수(OHand) - 엄지 외측모드시 손동작
인공지능 근전도 전동의수(OHand) - 엄지 외측모드시 손동작
인공지능 근전도 전동의수(OHand) - 엄지 외측모드시 손동작

Opposed Mode 1

인공지능 근전도 전동의수(OHand) - 엄지 반대모드1 손동작
인공지능 근전도 전동의수(OHand) - 엄지 반대모드1 손동작
인공지능 근전도 전동의수(OHand) - 엄지 반대모드1 손동작

Opposed Mode 2

인공지능 근전도 전동의수(OHand) - 엄지 반대모드2 손동작
인공지능 근전도 전동의수(OHand) - 엄지 반대모드2 손동작
인공지능 근전도 전동의수(OHand) - 엄지 반대모드2 손동작

Download

인공지능 근전도 전동의수(OHand) - Direct Control 소개자료