26 citations · 69 across the 18 of their papers we have counts for
20 papers
Grounding Mindfulness in Embodied Tangibles: A Scoping Review & Theoretical Framework for HCI Design
Tharaka Sachintha Ratnayake, Samangi Wadinambiarachchi, Sarah Schömbs +3
Embodied and tangible devices are increasingly used to support mindfulness practices across meditation, yoga, and everyday routines. However, existing HCI research lacks a coherent…
Learning Varying Physical Therapist-Patient Interactions for Robot-mediated Upper Limb Task-Specific Training
Jia Quan Loh, Vincent Crocher, Marlena Klaic +2
Upper extremity motor function recovery is positively linked to Task-Specific Training (TST) and sufficient therapy dosage. Rehabilitation robots can increase TST dosage via contro…
Exploring Interference between Concurrent Skin Stretches
Ching Hei Cheng, Jonathan Eden, Denny Oetomo +1
Proprioception is essential for coordinating human movements and enhancing the performance of assistive robotic devices. Skin stretch feedback, which closely aligns with natural pr…
TT-MPD: Test Time Model Pruning and Distillation
Haihang Wu, Wei Wang, Tamasha Malepathirana +3
Pruning can be an effective method of compressing large pre-trained models for inference speed acceleration. Previous pruning approaches rely on access to the original training dat…
Using Fitts' Law to Benchmark Assisted Human-Robot Performance
Jiahe Pan, Jonathan Eden, Denny Oetomo +1
Shared control systems aim to combine human and robot abilities to improve task performance. However, achieving optimal performance requires that the robot's level of assistance ad…
Effects of Shared Control on Cognitive Load and Trust in Teleoperated Trajectory Tracking
Jiahe Pan, Jonathan Eden, Denny Oetomo +1
Teleoperation is increasingly recognized as a viable solution for deploying robots in hazardous environments. Controlling a robot to perform a complex or demanding task may overloa…
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana +3
Neural growth is the process of growing a small neural network to a large network and has been utilized to accelerate the training of deep neural networks. One crucial aspect of ne…
Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques
Zihang Su, Tianshi Yu, Nir Lipovetzky +6
A transhumeral prosthesis restores missing anatomical segments below the shoulder, including the hand. Active prostheses utilize real-valued, continuous sensor data to recognize pa…
Varying Joint Patterns and Compensatory Strategies Can Lead to the Same Functional Gait Outcomes: A Case Study
T. Bacek, M. Sun, H. Liu +4
This paper analyses joint-space walking mechanisms and redundancies in delivering functional gait outcomes. Multiple biomechanical measures are analysed for two healthy male adults…
A Weak Monotonicity Based Muscle Fatigue Detection Algorithm for a Short-Duration Poor Posture Using sEMG Measurements
Xinliang Guo, Lei Lu, Mark Robinson +3
Muscle fatigue is usually defined as a decrease in the ability to produce force. The surface electromyography (sEMG) signals have been widely used to provide information about musc…
Frequency Superposition -- A Multi-Frequency Stimulation Method in SSVEP-based BCIs
Jing Mu, David B. Grayden, Ying Tan +1
The steady-state visual evoked potential (SSVEP) is one of the most widely used modalities in brain-computer interfaces (BCIs) due to its many advantages. However, the existence of…
Multi-Frequency Canonical Correlation Analysis (MFCCA): A Generalised Decoding Algorithm for Multi-Frequency SSVEP
Jing Mu, Ying Tan, David B. Grayden +1
Stimulation methods that utilise more than one stimulation frequency have been developed for steady-state visual evoked potential (SSVEP) brain-computer interfaces (BCIs) with the…
The Use of Implicit Human Motor Behaviour in the Online Personalisation of Prosthetic Interfaces
Ricardo Garcia-Rosas, Tianshi Yu, Denny Oetomo +3
In previous work, the authors proposed a data-driven optimisation algorithm for the personalisation of human-prosthetic interfaces, demonstrating the possibility of adapting prosth…
Task-space Synergies for Reaching using Upper-limb Prostheses
Ricardo Garcia-Rosas, Denny Oetomo, Chris Manzie +2
Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosth…
LIDAR-Assisted Exact Output Regulation for Load Mitigation in Wind Turbines
Amin Mahdizadeh, Robert Schmid, Denny Oetomo
Optimising wind turbine performance involves maximising energy harvesting while seeking to minimise load fatigues on the tower structure, blades and rotor. To improve turbine contr…
Control Barrier Functions for Mechanical Systems: Theory and Application to Robotic Grasping
Wenceslao Shaw Cortez, Denny Oetomo, Chris Manzie +1
Control barrier functions have been demonstrated to be a useful method of ensuring constraint satisfaction for a wide class of controllers, however existing results are mostly rest…
Personalized On-line Adaptation of Kinematic Synergies for Human-Prosthesis Interfaces
Ricardo Garcia-Rosas, Ying Tan, Denny Oetomo +2
Synergies have been adopted in prosthetic limb applications to reduce complexity of design, but typically involve a single synergy setting for a population and ignore individual pr…
Grasp Constraint Satisfaction for Object Manipulation using Robotic Hands
Wenceslao Shaw Cortez, Denny Oetomo, Chris Manzie +1
For successful object manipulation with robotic hands, it is important to ensure that the object remains in the grasp at all times. In addition to grasp constraints associated with…
Dynamics of Insufflated Abdominal Wall Tissue for Magnetically Anchored Surgical Instruments
Florence Leong, Alireza Mohammadi, Vijay Rajagopal +4
Magnetically-anchored surgical devices have recently gained attention in abdominal surgery, with the use of magnets to anchor surgical devices onto the insufflated abdominal wall.…
Robust Object Manipulation for Tactile-based Blind Grasping
Wenceslao Shaw-Cortez, Denny Oetomo, Chris Manzie +1
Tactile-based blind grasping addresses realistic robotic grasping in which the hand only has access to proprioceptive and tactile sensors. The robotic hand has no prior knowledge o…