2 citations · 4 across the 7 of their papers we have counts for
8 papers
ViMoWear: Visual Motion-Guided sEMG-IMU Representation Learning for Subject-Independent Thumb Gesture Recognition
Wenjuan Zhong, Chenfei Ma, Kianoush Nazarpour
Wearable sensing enables intuitive hand gesture recognition for human--computer interaction, augmented reality, and prosthetic control, yet subject--independent recognition remains…
KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning
Sofia Gilardini, Chenfei Ma, Kianoush Nazarpour
Decoding hand kinematics from surface electromyography (EMG) is a core challenge in wearable biosignal processing with clinical relevance for prosthetic control and motor rehabilit…
On Optimizing Electrode Configuration for Wrist-Worn sEMG-Based Thumb Gesture Recognition
Wenjuan Zhong, Chenfei Ma, Kianoush Nazarpour
Thumb gestures provide an effective and unobtrusive input modality for wearable and always-available human-machine interaction. Wrist-worn surface electromyography (sEMG) has emerg…
Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population
Christopher B Thornton, Niina Kolehmainen, Kianoush Nazarpour
Accelerometers are widely used to measure physical activity behaviour, including in children. The traditional method for processing acceleration data uses cut points to define phys…
Modelling and Analysis of Magnetic Fields from Skeletal Muscle for Valuable Physiological Measurements
Siming Zuo, Kianoush Nazarpour, Dario Farina +2
MagnetoMyoGraphy (MMG) is a method of studying muscle function via weak magnetic fields generated from human active organs and tissues. The correspondence between MMG and electromy…
Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning
Rasool Ameri, Ali Alameer, Saideh Ferdowsi +2
Dictionary learning is a cornerstone of image classification. We set out to address a longstanding challenge in using dictionary learning for classification; that is to simultaneou…
Grasp Type Estimation for Myoelectric Prostheses using Point Cloud Feature Learning
Ghazal Ghazaei, Federico Tombari, Nassir Navab +1
Prosthetic hands can help people with limb difference to return to their life routines. Commercial prostheses, however have several limitations in providing an acceptable dexterity…
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
Ghazal Ghazaei, Iro Laina, Christian Rupprecht +3
Humans excel in grasping and manipulating objects because of their life-long experience and knowledge about the 3D shape and weight distribution of objects. However, the lack of su…