The MANUS-HAND Dextrous Robotics Upper Limb Prosthesis: Mechanical and Manipulation Aspects

Pons, José L; Rocón, Eduardo; Ceres, R.; Reynaerts, Dominiek; Saro, B.; Levin, Sondra W.; Moorleghem, W. Van

doi:10.1023/b:auro.0000016862.38337.f1

Cited by 243 publications

(138 citation statements)

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“…One example of both rotation and flexion/extension has been found in the SVEN Hand [50]. The MANUS hand [58] and Southampton [54] control systems enable control of wrist rotation only. With the latter two systems, wrist movement control is implemented in the same way as grasp selection, which makes simultaneous grasping and wrist movement impossible.…”

Section: Control Requirement 2: Wrist Movementmentioning

confidence: 99%

Myoelectric forearm prostheses: State of the art from a user-centered perspective

Peerdeman

Boere²,

Witteveen³

et al. 2011

JRRD

402

303

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Abstract-User acceptance of myoelectric forearm prostheses is currently low. Awkward control, lack of feedback, and difficult training are cited as primary reasons. Recently, researchers have focused on exploiting the new possibilities offered by advancements in prosthetic technology. Alternatively, researchers could focus on prosthesis acceptance by developing functional requirements based on activities users are likely to perform. In this article, we describe the process of determining such requirements and then the application of these requirements to evaluating the state of the art in myoelectric forearm prosthesis research. As part of a needs assessment, a workshop was organized involving clinicians (representing end users), academics, and engineers. The resulting needs included an increased number of functions, lower reaction and execution times, and intuitiveness of both control and feedback systems. Reviewing the state of the art of research in the main prosthetic subsystems (electromyographic [EMG] sensing, control, and feedback) showed that modern research prototypes only partly fulfill the requirements. We found that focus should be on validating EMG-sensing results with patients, improving simultaneous control of wrist movements and grasps, deriving optimal parameters for force and position feedback, and taking into account the psychophysical aspects of feedback, such as intensity perception and spatial acuity.

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Section: Control Requirement 2: Wrist Movementmentioning

confidence: 99%

Myoelectric forearm prostheses: State of the art from a user-centered perspective

Peerdeman

Boere²,

Witteveen³

et al. 2011

JRRD

402

303

View full text Add to dashboard Cite

show abstract

“…The accuracy of pattern recognition based control is greatly improved by methods of feature extraction and classification [5,25]. Robots such as, SUEFUL-7 [6], NEUROExos [27], W-EXOS [11], DEKA Arm [21], Saga Prosthetic Arm [22], Manus Hand [23] are on pattern recognition based control. The non-pattern recognition based control method involves only a few steps (see Fig.5).…”

Section: Categorization Of Emg Based Control Methodsmentioning

confidence: 99%

“…It makes the number of inputs for the control system to be less and obviously causes to underperform a conventional control system. So far researchers [21][22][23] have proposed different control methods to control prosthetic devices. In addition, the introduction of more advanced technologies such as targeted muscle reinnervation and implantable electrodes marks new boundaries in prosthesis controlling.…”

Section: Emg Based Control Methods Of Upper-limb Prosthesesmentioning

confidence: 99%

“…19 as a replacement to a lost hand for an amputee is capable of generating 3DoF, reproducing the grasping function for the user [23]. The hand is controlled via EMG signal of the residual muscle of the user.…”

Section: Emg Based Control Methods Of Manus Handmentioning

confidence: 99%

“…Some of the available exoskeleton robots controlled based on EMG are the orthotic exoskeleton hand [19], exoskeleton robot for tremor suppression [20], SUEFUL-7 [6] etc. In addition, DEKA Arm [21], Saga Prosthetic Arm [22], and Manus Hand [23] are some of the available prosthetic devices with EMG based controlling. Many researchers from different institutions have been working on EMG based control methods over several decades and their contribution has greatly influenced a new era of EMG based control of assistive robots [5,24,25].…”

Section: Introductionmentioning

confidence: 99%

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