👉🏽 If you do R&D on wearable or assistive tech, wear/use prototypes regularly in your daily life. It helps empathize with end users. And improves your ability to design and test for usability & practicality.
Here's why (brief 🧵)
1. It builds your intuition.
In retrospect, this tip seems obvious. But most researchers & developers don't do it. It took me >10 years of biomedical R&D to realize it.
You'll notice design constraints you never knew existed. You'll think more deeply about user experience. And you'll create better lab and field evaluations more quickly.
It helps preempt fatal flaws before you start any serious design or testing work.
This advice has been so impactful to my own R&D that it feels more like a cheat code than a tip.
Give it a try yourself! Post your own suggestions or questions. Or read more about my somewhat unorthodox approach to #biomechanics & wearable tech R&D:
Every great seminar and conference speaker I've seen in my 15 years as an academic researcher did these 10 things. These can 10x your research visibility and impact. And this will unleash new opportunities. 🔥🚀
Let's dive in:
1. Start with something engaging
• Funny story
• Personal anecdote
• Interesting statistic (that the audience doesn't know)
The first thing you say determines whether the audience will be leaning in to listen or picking up their phone to check email. Act accordingly #SciComm
2. Explain the significance
• What's the broader impact on your field?
• What's the future impact on society?
• Why should anyone care?
It doesn't matter if you're presenting to experts in your field or a broad audience. Succinctly and clearly explain why your work matters.
Occupational #wearables for monitoring low back load have potential to improve ergonomic assessments & enable personalized, continuous monitoring of overexertion injury risk in the workplace. #biomechanics#ergonomics
We wanted to know: if we can only use a small number of wearable sensors to monitor low back loading, then which sensors should we use, where should we place them, what type of algorithm should we employ, & how accurately can we monitor back loading during material handling?
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To address this we synchronously collected data from the #biomechanics lab & from #wearables to analyze 10 individuals each performing 400 different material handling tasks. We explored dozens of candidate solutions that used IMUs on various body locations & pressure insoles.
Four years ago @leonscottmd asked if we could use #wearables to monitor & eventually reduce bone stress injury risks in runners. Based on our latest #biomechanics study I'm more & more convinced answer is going to be: Yes!
#1 what causes overuse injuries like stress fractures?
#2 how do current wearables assess injury risk?
#3 benefits of multi-sensor algorithms
#4 epidemiological evidence from occupational health suggests this approach can work
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#1 What causes stress fractures (& other overuse injuries)?
Converging, multidisciplinary evidence indicates overuse injuries are consistent with a mechanical fatigue failure process, in which tissues accumulate microdamage due to repetitive loading. (Fig from Edwards 2018)
Challenging experiment, but we learned a lot in the process. Here are the top 4 lessons I took away....
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First, huge kudos to lead author @lamers_erik who completed his PhD last month!
During his time @CREATEatVandy he completed a series of studies on quasi-passive wearable assistive devices spanning from foot prostheses to back-assist exosuits
Super proud of the work he did!
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Next some background: When I talk to scientists they often want to know how much exosuits reduce muscle activity, or joint torque, or metabolic rate, or about the optimal assistance levels, specific design features, etc.
And I love this technical aspect of research, but...