🔗 wearable-landscape.info/topics/open-...

🔎 Finding accelerometer data shouldn't be hard.

Check out our curated list of...
📊 16 datasets (so far)
📍 Wrist, hip, thigh & lower back placements
🏷️ Activity type, steps, walking speed, energy expenditure & sleep
🔬 Laboratory and free-living protocols

#OpenData #Accelerometry #OpenScience

Database:
- Enhance manufacturer overview: database.wearable-landscape.info/manufacturer...
- Add device images: database.wearable-landscape.info/wearables/308
- Review technical specs for your devices: database.wearable-landscape.info/wearables

Website:
- Create a profile: wearable-landscape.info/resources/co...

🌐 Visibility features for companies on our website and database
- Create a profile
- Add logos and device images
- Review technical specs for your devices

Your input aids the whole community.
🧵 See thread for examples (movisens GmbH)
📩 Interested? Contact us to get access!

#Wearables #OpenScience

#FactFriday ✨
Wearables often perform better in the lab than in real life. Algorithms accuracy can drop substantially in real-world (free-living) conditions — where behavior is more complex and less predictable.

💬 Do you prioritize lab or real-world validation?

#Wearables #RealWorldData

#FactFriday 👉 Did you know?
The same wearable device can produce very different results depending on where it’s worn. Placement strongly influences how movement is captured, and thus the interpretation of data.

💬 What’s your preferred placement for your research?

#Wearables #Accelerometry #Methods

#FactFriday 👉 Did you know?
There is an uncountable number of wearable devices on the market – but only a fraction are properly validated.
Not all data is equal! Quality mattes – validation is key 🗝️

💬 Do you check validation studies before using a device?

#Wearables #Validation

#FactFriday 👉 Did you know?
Accelerometers have been used in research since the 80s/90s — long before fitness trackers. The earliest pedometers date back all the way to the late 19th century. ⏱️
They laid the foundation for today’s wearable-based activity measurement.

#Wearables #PhysicalActivity

🌐 Subsite feature on our website
Members in our network can create and manage a subsite to showcase their wearable-related projects and research topics.
Have a look at this best-practice example:
🔗 wearable-landscape.info/topics/digit...

Interested? Feel free to contact us for your own subsite.

Webinar registration Meetings

📢 Webinar – March 10, 2026 (16:00 - 17:00 CET)

🎤 Faith Matcham (University of Sussex) on "Predicting Daily Mood from Passive Wearable & Smartphone Data in Major Depressive Disorder"

📝 Free registration:
www.ecnp.eu/knowledge-hu...

#DigitalHealth #Wearables #mHealth

📊 New paper on wearable-based movement behaviour metrics
A new article in the @jmpbjournal.bsky.social proposes a taxonomy of metrics for physical activity and sedentary behaviours measured via #wearables.

The review improves consistency and comparability across studies.
🔗 doi.org/10.1123/jmpb...

📢 Workshop: Ambulatory Assessment (4–6 March 2026)

Hands-on training in e-diary / ESM / EMA / AA methodology @kit.edu.

🎯 Primarily for doctoral students
📍 In person | Language: German

ℹ️ Info:
www.ifss.kit.edu/english/4083...
📝 Register here:
kit-event.ungerboeck.net/PROD/emc00/r...

#LivingReview Update ✨

We’ve submitted our Living Review on #wearables #validation studies (2022–2024) to a special issue of the @jmpbjournal.bsky.social!
Huge thanks to all co-authors — and special thanks to @fiejanis.bsky.social for the lead👏

🔄 Kick-off for the 2025 update already happened today

Conference Calender You are here:

📅 Conference Calendar 2026

We asked our team & community which conferences they’ll attend next year — and uploaded all dates to our site. At every listed conference, someone from our network will be there.
Missing a date? Let us know!
Let’s #connect in person, exchange ideas & build #collaborations

#NetworkUpdate
We’ve just shared our Wearable Landscape Annual Report with highlights from 2025 (e.g. Wearables Database) and with what's next in 2026 (e.g. Delphi Study).
🙌 A big thank you to everyone who contributed and a special thanks to our Management Group.
📩 Interested? Feel free to reach out

👏 Excellent work led by Marla Beauchamp. Have a look at all mobility measures, guiding principles and prioirities to advance research in ageing populations:
🔗 academic.oup.com/ageing/artic...

These emerging standards are a major step to improve wearables research for older adults.

Additionally, they derived 16 priorities, to guide future research in this area. This is their top 5:
1️⃣ Collect longitudinal wearable data
2️⃣ Use digital biomarkers and health outcomes
3️⃣ Capture contextual data
4️⃣ Develop and validate algorithms
5️⃣ Integrate wearable data into healthcare systems

...and guiding principles for 6 different research phases: pre-planning, device selection, data collection, data processing, data analysis, and reporting.

The consensus of 24 global experts delivered core mobility measures across 6 behavioral dimensions: physical activity, walking, transitions, body posture, transportation, and life space...

📢 Hot off the press!
A new international consensus on wearable mobility measurement in ageing populations (65+) was just published. 🧵

#Wearables #Ageing #Consensus #Mobility #PhysicalBehaviour #ResearchStandards #OpenScience

📊 #DelphiStudy update:

Round 1 received many completed questionnaires (n = 254) and valuable comments (n = 317) for our checklist and quality assessment — thank you to everyone who contributed! 🙏
We’re now reviewing all feedback and will prepare Round 2.

More soon!

#ResearchNetwork #Wearables

What a year! Thanks to everyone who helped shape the Wearable Landscape in 2025 — a true living network in action.

🎄 Wishing you happy holidays and a great start into 2026!

📅 Looking ahead: Which conferences will you attend in 2026?
Share your plans so we can connect and meet in person next year.

👉 Check it out via the link below and let us know what you’d like to see next (and if you spot anything missing)!

💬 Help us keep it up to date: If you spot missing, outdated, or incorrect information, feel free to reach out via contact@wearable-landscape.info

Home wearable landscape interactive dashboard

Exciting News: Our new #Wearables #Database is live!

📊Our team has compiled a systematic, internet-based market analysis of currently available wearable sensors into an interactive database to:
- Search for wearables & their features
- Get a fast overview of validation studies

Calibration and evaluation of MET models for estimating energy expenditure using thigh and ankle-worn move 4 accelerometer Objectives Valid estimation of energy expenditure remains a challenge, particularly when using ankle- and thigh-worn devices. The Move 4 is a research-grade accelerometer previously tested for…

📢 New paper out!
We calibrated and evaluated MET models for walking and jogging using the Move 4 wearable on the ankle and thigh — with strong agreement vs indirect calorimetry (gold-standard).
Great progress for high-resolution energy-expenditure estimation using Move 4 accelerometers 👏
#Wearables

💭How to be #transparent and #fair in large collaborative review processes regarding authorship?
We adressed this in our present review (>200 included studies and 24 scientists involved) and developed a weighted scoring system based on the time required for different tasks to fairly credit workloads.

#Conference Time

Last week our members Marco Giugiu, @fiejanis.bsky.social and @irinatimm.bsky.social presented our Wearable Landscape initiative at the International Symposium on Physical Behaviors 🏋️, Wearable Sensing ⌚️, and Health Analytics 🩺.

Thanks to @tu-dortmund.de for hosting this event.

Great meeting with our Advisory Board last week!
We discussed key topics — organization, website, promotion, our living network, and funding.
Huge thanks to everyone who joined, and to those who couldn’t attend but shared their feedback via our survey.
Your input drives our initiative forward! 🙌

Welcome to our guest researcher, Dr. Saeid Azadifar from @oulu.fi 🇫🇮

He collaborates with us at @kit.edu and held an excellent talk on “Machine Learning of Digital Biomarkers to Predict Mental Health Outcomes.”
Looking forward to more inspiring discussions over the next two weeks.

#Wearables