Martin Otis

Professeur

Université du Québec à Chicoutimi

Canada

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About

Professor Martin Otis is a faculty member at Université du Québec à Chicoutimi in Canada. His research primarily focuses on machine learning applications in health monitoring, specifically in fall risk estimation and gait analysis. Additionally, he explores robotic interactions and feature selection techniques in gesture recognition, contributing to advancements in robotics and human-robot interaction.

Articles (9)

Year:

2024

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (1)

Charles Sebiyo Batcho

Laval University

CANADA

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Martin Otis

Research Interests

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Articles (9)

Machine learning-based risk of fall estimation using insole with force sensors while performing a sequence of activities in the TUG test

Criterion validity of ActiGraph monitoring devices for step counting and distance measurement in adults and older adults: a systematic review

Dimensional reduction of balance parameters in risk of falling evaluation using a minimal number of force-sensitive resistors

A Many-Objective Simultaneous Feature Selection and Discretization for LCS-Based Gesture Recognition

Image Generation for 2D-CNN Using Time-Series Signal Features from Foot Gesture Applied to Select Cobot Operating Mode

Swarm Robotic Interactions in an Open and Cluttered Environment: A Survey

Risk of Falling in a Timed Up and Go Test Using an UWB Radar and an Instrumented Insole

Low-Rank and Sparse Recovery of Human Gait Data

Toward a robot swarm protecting a group of migrants

Collaborators (1)

Charles Sebiyo Batcho

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