The Science of
Ergonomic
Injury Prevention
Soter devices are designed with the latest technology and combine unprecedented up-to-date effective training practises drawn from ergonomics, sports science & physiological science
SoterCoach Was Built Off Existing Standards
Our SoterCoach wearable device leverages the vast amounts of research that have quantified ergonomic injury risk including International Standards 11228-1 to 11228-6 & 12295, OSHA’s Ergonomics Program Standard 29 CFR 1910.900, Safe Work Australia’s Hazardous Manual Tasks Code of Practice, and more than a dozen peer-reviewed research projects.
SoterCoach utilizes an inertial motion sensor & world-leading data algorithms identify when a worker puts stress on their back or shoulder, quantifying movements to analyse if they are at high-risk and may lead to injury.
DOWNLOAD WHITE PAPERSoterCoach Measures More Movements Than Any Other Product Developed
- Lifting movements with poor technique (primarily sagittal flexion)
- Overreaching (sagittal flexion)
- Twisting (rotation of the trunk)
- Shoulder overexertion
- Hazardous pushing and pulling of the shoulder
- Arm elevation (with or without load)
- Repetitive movements & forces for both back and shoulder
- Sustained awkward static postures (including sagittal flexion, rotation of the trunk, arm elevation)
- Sustained & high forces
- Sudden impact forces
And Now The System Is Starting To Overtake Traditional Standards, Powered By AI
Traditional standards specify what 'typical' humans can withstand. In the case of ergonomic and manual handling risk, these usually estimate how many higher-risk movements a person should make within a time period and how much weight or force a person should be able to safely withstand.
At Soter Analytics we've built a system that self-learns and gives personalised feedback to each individual worker, helping them avoid the movements that might increase their own risk of injury.
- Measures the individual strength of each worker with our highly-innovative intensity model which identifies how difficult each movement is.
- Identifies when an individual or group of movements are increasing the fatigue of a worker or if they begin overcompensating with different working techniques to avoid particular pain or lactic acid buildup.
- System continually self-learns to calculate how the worker's risk is adjusting and provides increasingly personalised feedback.
Soter Analytics Clients Success Stories
Travis Perkins (UK)
Soter Analytics helps UK’s largest building merchant to reduce manual handling injuries by 55%
Giant Eagle Supermarkets (US)
Wearable devices help the 34,000-employee retailer reduce risk of injury by 31%
Kenco Logistics (US)
Kenco uses Soter Clip&Go wearable technology to proactively prevent injuries
St John of God (AU)
Soter Analytics AI-driven wearable solutions reduce spine and shoulder injuries among Caregivers
Start Preventing Injuries with SoterCoach
The wearable device, personal mobile app & tutorials for workers to self-correct their movements in real-time. All data is accessible via the analytics dashboard.
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