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Ergonomics

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Analysis of body pressure distribution on car seats by using deep learning.

Applied ergonomics
This study aimed to extract information from body pressure distribution, including comfort, participant body size, and seat characteristics by using supervised deep learning, and body pressure characteristics corresponding to sensory evaluation by us...

Using a deep learning network to recognise low back pain in static standing.

Ergonomics
Low back pain (LBP) remains one of the most prevalent musculoskeletal disorders, while algorithms that able to recognise LBP patients from healthy population using balance performance data are rarely seen. In this study, human balance and body sway p...

Pulling force prediction using neural networks.

International journal of occupational safety and ergonomics : JOSE
PURPOSE: In ergonomics and human factors investigations, pulling force (PF) estimation has usually been achieved using various types of biomechanical models, and independent approximation of PF was done with the help of upper extremity joints. Recent...

Using Neural Networks to predict HFACS unsafe acts from the pre-conditions of unsafe acts.

Ergonomics
Human Factors Analysis and Classification System (HFACS) is based upon Reason's organizational model of human error which suggests that there is a 'one to many' mapping of condition tokens (HFACS level 2 psychological precursors) to unsafe act tokens...

Controlling robots in the home: Factors that affect the performance of novice robot operators.

Applied ergonomics
For robots to successfully integrate into everyday life, it is important that they can be effectively controlled by laypeople. However, the task of manually controlling mobile robots can be challenging due to demanding cognitive and sensorimotor requ...

Experimental evaluation of a novel robotic hospital bed mover with omni-directional mobility.

Applied ergonomics
Bed pushing during patient transfer is one of the most physically demanding and yet common tasks in the hospital setting. Powered bed movers have been increasingly introduced to hospitals to reduce physiological strains on the users. This study intro...

Physical human-robot interaction of an active pelvis orthosis: toward ergonomic assessment of wearable robots.

Journal of neuroengineering and rehabilitation
BACKGROUND: In human-centered robotics, exoskeletons are becoming relevant for addressing needs in the healthcare and industrial domains. Owing to their close interaction with the user, the safety and ergonomics of these systems are critical design f...

The Design, Prototyping, and Formative Evaluation of an Assistive Robotic Table (ART) for Stroke Patients.

HERD
OBJECTIVE: This article presents the results of an exploratory study in which 14 healthcare subject matter experts (H-SMEs) in addition to four research and design subject matter experts (RD-SMEs) at a regional rehabilitation hospital engaged in a se...

[Should assistive robots have a "personality"? : Potential of simplified robot personalities].

Zeitschrift fur Gerontologie und Geriatrie
BACKGROUND: In the European Union (EU) research project "HOBBIT" prototypes of assistive robots were developed in order to support a more secure and independent life style and trials were run at the homes of elderly users.

Predicting manual arm strength: A direct comparison between artificial neural network and multiple regression approaches.

Journal of biomechanics
In ergonomics, strength prediction has typically been accomplished using linked-segment biomechanical models, and independent estimates of strength about each axis of the wrist, elbow and shoulder joints. It has recently been shown that multiple regr...