AIMC Topic: Activities of Daily Living

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Learning to teleoperate an upper-limb assistive humanoid robot for bimanual daily-living tasks.

Biomedical physics & engineering express
Bimanual humanoid platforms for home assistance are nowadays available, both as academic prototypes and commercially. Although they are usually thought of as daily helpers for non-disabled users, their ability to move around, together with their dext...

Feature Fusion of a Deep-Learning Algorithm into Wearable Sensor Devices for Human Activity Recognition.

Sensors (Basel, Switzerland)
This paper presents a wearable device, fitted on the waist of a participant that recognizes six activities of daily living (walking, walking upstairs, walking downstairs, sitting, standing, and laying) through a deep-learning algorithm, human activit...

The concept of social dignity as a yardstick to delimit ethical use of robotic assistance in the care of older persons.

Medicine, health care, and philosophy
With robots being introduced into caregiving, particularly for older persons, various ethical concerns are raised. Among them is the fear of replacing human caregiving. While ethical concepts like well-being, autonomy, and capabilities are often used...

Research on Rehabilitation Effect Prediction for Patients with SCI Based on Machine Learning.

World neurosurgery
OBJECTIVE: Because of the complex condition of patients with spinal cord injury (SCI), it is difficult to accurately calculate the activity of daily living (ADL) score of discharged patients. In view of the above problem, this research proposes a pre...

A CSI-Based Human Activity Recognition Using Deep Learning.

Sensors (Basel, Switzerland)
The Internet of Things (IoT) has become quite popular due to advancements in Information and Communications technologies and has revolutionized the entire research area in Human Activity Recognition (HAR). For the HAR task, vision-based and sensor-ba...

Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults.

Sensors (Basel, Switzerland)
Falls are a major cause of morbidity and mortality in neurological disorders. Technical means of detecting falls are of high interest as they enable rapid notification of caregivers and emergency services. Such approaches must reliably differentiate ...

5G-enabled contactless multi-user presence and activity detection for independent assisted living.

Scientific reports
Wireless sensing is the state-of-the-art technique for next generation health activity monitoring. Smart homes and healthcare centres have a demand for multi-subject health activity monitoring to cater for future requirements. 5G-sensing coupled with...

Development and comprehensive evaluation of a new spring-steel-driven glove for grasping assistance during activities of daily living.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Millions of people suffer from a decline in grip strength and hand function due to conditions such as chronic disease, injuries, and aging. Hand function decline results in difficulties with performing activities of daily living, where grasping, lift...

Daily Human Activity Recognition Using Non-Intrusive Sensors.

Sensors (Basel, Switzerland)
In recent years, Artificial Intelligence Technologies (AIT) have been developed to improve the quality of life of the elderly and their safety in the home. This work focuses on developing a system capable of recognising the most usual activities in t...

Continuous Tongue Robot Mapping for Paralyzed Individuals Improves the Functional Performance of Tongue-Based Robotic Assistance.

IEEE transactions on bio-medical engineering
Individuals with tetraplegia have a challenging life due to a lack of independence and autonomy. Assistive robots have the potential to assist with the activities of daily living and thus improve the quality of life. However, an efficient and reliabl...