🙋🏽♂️ How important is exoskeleton training and implementation in the workplace?
👀 This graphic from Kuber and Rashedi 2024 summarizes it nicely. It can make a huge difference! As summarized nicely in this review article...
#Machinelearning models can be used to predict perceived fatigue using sensor data.
Our #research showed that stability measures were most beneficial (~93% accuracy) in detecting low-back fatigue during #exoskeleton assisted bending tasks.
https://t.co/U27w1W82fe
#ergonomics
Our #evaluation of #Stroke Survivors (SS) vs. Healthy controls in #motor-#cognitive dual-task #TUG test showed that SS took :
a. 29% ⬆️time in TUG and 28% ⬆️dual-task
b. 20% ⬆️time to walk back to chair during dual-task
#rehabilitation#neuroscience
https://t.co/bdX4dUZowR
Is it difficult to evaluate #Exoskeletons in industrial settings? Besides summarizing methods (sub/obj) for Exo #fieldevaluation, our #review discusses common challenges faced by researchers and suggests ways to ensure effective/reliable assessments.
Link:https://t.co/Z1XCQYAL7i
Most #Exoskeletons assist flexion/extension motion, and may increase demands on wearers during asymmetric body motion. In our #researchpaper, we proposed #design for a new passive #assistivedevice for twisting torso, a common #injury factor in #nursing
https://t.co/zjhAfMy4jO
@KarlZelik Very true. A solution I came across for reducing differences between worker needs vs. current EXOs was making them adaptable to physical demands (Smart Materials: rigid-soft tuning could improve comfort). Yet doing so in passive EXOs may be tricky.
REF: https://t.co/bMdtVUhTYg
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@KarlZelik A very interesting paper. Thank you for sharing Dr. Zelik!
On similar lines, we recently published a review article on field evaluation of upper-limb exoskeletons: https://t.co/1REVATJrua
I would greatly appreciate your thoughts on the paper!