activity
20182020
most citedDeep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

6 citations · 15 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2020★ 2 cited

Development and Validation of a Data Fusion Algorithm with Low-Cost Inertial Measurement Units to Analyze Shoulder Movements in Manual Workers

Marianne Boyer, Antoine Frasie, Laurent Bouyer +3

Work-related upper extremity musculoskeletal disorders (WRUED) are a major problem in modern societies as they affect the quality of life of workers and lead to absenteeism and pro…

cs.RO2020★ 1 cited

Intuitive sequence matching algorithm applied to a sip-and-puff control interface for robotic assistive devices

Frédéric Schweitzer, Alexandre Campeau-Lecours

This paper presents the development and preliminary validation of a control interface based on a sequence matching algorithm. An important challenge in the field of assistive techn…

cs.RO2020

Mechanical Design Improvement of a Passive Device to Assist Eating in People Living with Movement Disorders

Michaël Dubé, Thierry Laliberté, Véronique Flamand +2

Many people living with neurological disorders, such as cerebral palsy, stroke, muscular dystrophy or dystonia experience upper limb impairments (muscle spasticity, loss of selecti…

cs.RO2020

Mechanical Orthosis Mechanism to Facilitate the Extension of the Leg

Gabrielle Lemire, Thierry Laliberté, Alexandre Campeau-Lecours

This paper presents the design of a mechanism to help people using mechanical orthoses to extend their legs easily and lock the knee joint of their orthosis. Many people living wit…

cs.RO2020★ 1 cited

Preliminary Development of a Wearable Device to Help Children with Unilateral Cerebral Palsy Increase Their Consciousness of Their Upper Extremity

Jade Clouatre, Alexandre Campeau-Lecours, Véronique Flamand

Children with unilateral cerebral palsy have movement impairments that are predominant to one of their upper extremities (UE) and are prone to a phenomenon named "developmental dis…

cs.HC2020

A Flexible and Modular Body-Machine Interface for Individuals Living with Severe Disabilities

Cheikh Latyr Fall, Ulysse Côté-Allard, Quentin Mascret +4

This paper presents a control interface to translate the residual body motions of individuals living with severe disabilities, into control commands for body-machine interaction. A…

cs.RO2019★ 3 cited

Preliminary design of a device to assist handwriting in children with movement disorders

Gabrielle Lemire, Thierry Laliberté, Katia Turcot +2

This paper presents the development of a new passive assistive handwriting device, which aims to stabilize the motion of people living with movement disorders. Many people living w…

cs.RO2018★ 2 cited

Assistive robotic device: evaluation of intelligent algorithms

Audrey Lebrasseur, Josiane Lettre, François Routhier +2

Assistive robotic devices can be used to help people with upper body disabilities gaining more autonomy in their daily life. Although basic motions such as positioning and orientin…

cs.LG2018★ 6 cited

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

Ulysse Côté-Allard, Cheikh Latyr Fall, Alexandre Drouin +5

In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of…