Biometric recognition through gait analysis

C Álvarez-Aparicio, ÁM Guerrero-Higueras… - Scientific Reports, 2022 - nature.com
The use of people recognition techniques has become critical in some areas. For instance,
social or assistive robots carry out collaborative tasks in the robotics field. A robot must know …

2-D LIDAR-based approach for activity identification and fall detection

M Bouazizi, C Ye, T Ohtsuki - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Activity detection is a key task in the monitoring of elderly people living alone. This is
because it helps locate them and identify any accident that might occur to them. In this …

Smart rollators aid devices: Current trends and challenges

G Verdezoto, J Ballesteros… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobility loss has a major impact on autonomy. Smart rollators have been proposed to
enhance human abilities when conventional devices are not enough. Many human–robot …

A fast and high-performance object proposal method for vision sensors: Application to object detection

C Jiang, Z Wang, H Liang, S Tan - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Use of the object proposal method as a preprocessing step for object detection of vision
sensors has improved computational efficiency in recent years. Good object proposal …

Activity detection in indoor environments using multiple 2d lidars

M Bouazizi, AL Mora, K Feghoul, T Ohtsuki - Sensors, 2024 - mdpi.com
In health monitoring systems for the elderly, a crucial aspect is unobtrusively and
continuously monitoring their activities to detect potentially hazardous incidents such as …

A Survey on Rollator‐Type Mobility Assistance Robots

M Geravand, C Werner, K Hauer… - Handbook of Human …, 2023 - Wiley Online Library
Mobility disabilities are prevalent in our aging society and impede activities important for the
independent living of elderly people and their quality of life. Over the years, several mobility …

Extended Target Tracking in Human–Robot Coexisting Environments via Multisensor Information Fusion: A Heteroscedastic Gaussian Process Regression-Based …

P Paral, A Chatterjee, A Rakshit… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a new systematic approach to sensor fusion and state estimation is proposed
for extended target tracking in human–robot coexisting environments. The developed …

A hierarchical approach for updating targeted person states in human-following mobile robots

N Van Toan, SH Bach, SY Yi - Intelligent Service Robotics, 2023 - Springer
In the human-following task, the human detection, tracking and identification are
fundamental steps to help the mobile robot to follow and maintain an appropriate distance …

Activity detection using 2D LIDAR for healthcare and monitoring

M Bouazizi, C Ye, T Ohtsuki - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Monitoring elderly people living alone is of the utmost importance given the amount of risk
they are exposed to. Being aware of the activities of the elderly person in real time could …

Quantitative measurement of Parkinson's disease gait based on the rehabilitation monitoring robot

Y Tan, W Liu, HJ Sun, P Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article presents a gait monitoring method for the home-based rehabilitation of
Parkinson's disease using a following robot. We use robot-based 2-D light detection and …