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Showing 1 to 3 of 3 for “"Artificial hands"”.

  1. Predicting hand grasping orientation for prosthetic hand control using multimodal sensor data (EEG, EMG, and IMU) with machine learning approach

    Enhancing the control of prosthetic hands is a crucial challenge that directly impacts the daily functionality of individuals with limb loss. Our research delves into advanced machine learning (ML) methodologies to accurately predict hand-grasping orientations, thereby improving the precision of …

    utc Repository record for Predicting hand grasping orientation for prosthetic hand control using multimodal sensor data (EEG, EMG, and IMU) with machine learning approach (opens in a new tab)

  2. Mana Motuhake Ringa: The non-invasive neural interface based artificial hand

    … The contribution of this work lies in improving artificial hand function by mimicking the human grasping system. The human grasping system consists of the brain, the nervous system and the hand. The methods used investigate: biomechanical design principles for artificial hands, the limitations of …

    waikato-masters Repository record for Mana Motuhake Ringa: The non-invasive neural interface based artificial hand (opens in a new tab)

  3. Passivity-Based Hands Towards General-Purpose Robotic Manipulation

    … Despite a long history of research into artificial hands and significant development along the way, human-level manipulation remains unsolved. The current landscape of manipulation research reveals a dichotomy between the push for complex systems with diverse behaviours which can interact …

    cambridge Repository record for Passivity-Based Hands Towards General-Purpose Robotic Manipulation (opens in a new tab)