Empowering movement, enhancing quality of life.
CSEM’s Motion Analysis technologies deliver high-accuracy, low-power wearable solutions for human movement and activity analysis across diverse applications. From wrist-worn wearables to foot- and head-mounted sensors, our embedded algorithms enable real-time activity classification, gait analysis, sleep profiling, fall detection, gesture recognition, and sports performance evaluation. Validated through clinical studies and peer-reviewed publications, these solutions support consumer health, medical diagnostics, and wellness applications with Technology Readiness Levels (TRL) up to 9.
Human motion analysis is the scientific study and measurement of human movement patterns using advanced sensor technologies, algorithms, and data processing systems. This field combines biomechanics, computer vision, wearable sensors, and artificial intelligence to capture, analyze, and interpret how the human body moves in various contexts—from everyday activities to elite sports performance and clinical rehabilitation.
Modern activity tracking systems go beyond simple step counting, incorporating sophisticated motion analysis to provide comprehensive insights into daily movement patterns, exercise intensity, and behavioral health indicators. This shift toward richer, more reliable movement intelligence is where CSEM’s expertise comes into play.
Our motion analysis solutions redefine how movement is measured and interpreted across multiple body locations to deliver precise insights into physical activity, posture, gait, sleep, and falls. Whether it’s counting steps with 96%+ accuracy, classifying swim strokes in real time, or detecting falls with minimal false alarms, our technology is built for reliability and scalability.
The backbone of our motion analysis offering is sophisticated software capable of processing raw motion sensor data in real-time. Our embedded C-code libraries have been developed with advanced signal processing algorithms that transform accelerometer and gyroscope data into actionable insights. Our modular algorithms adapt to new use cases, improving accuracy over time while maintaining computational efficiency suitable for resource-constrained wearable devices.
Our software solutions for wrist-worn devices perform activity classification (rest, walk, run, bike, swim, sleep), arm and wrist gesture detection, and workout (running, swimming, hiking) profiling with minimal power consumption.
CSEM’s activity and speed tracking solutions from the wrist have been granted patent recognition, and the inventors were recognized with CSEM’s 2025 Inventor Award, a distinction for a technology that has pioneered wearable motion analytics and kick-started commercial transfers.
Human motion analysis has transformed physical therapy practice by replacing subjective assessments with objective, quantifiable sensor-based outcomes. CSEM's technologies support healthcare professionals in delivering evidence-based interventions. And they offer benefits in sports: athletes and coaches can analyze, monitor, and maximize performance in a variety of sports thanks to CSEM's innovations.
Gait analysis represents one of the most valuable applications of human motion analysis technology, providing critical data for rehabilitation, physical therapy, sports science, and care for the elderly. CSEM’s software solutions operating on foot- or ankle-mounted sensors provide cycle-by-cycle temporal and spatial metrics that reveal subtle variations in walking and running patterns. Our biomechanics-inspired algorithms measure essential gait parameters, including stride length, cadence, and real-time gait cycle event timing; the latter being a crucial feature for devices aiming to provide real-time feedback to improve a person’s gait.
At the upper body level (thorax, upper arm, and head), CSEM’s posture detection algorithms enable real-time monitoring of body orientation, supplemented by highly accurate walking and running detection.
CSEM is actively advancing gait analysis research through partnerships focused on rehabilitation and gait retraining in persons with limited mobility and prosthesis users, pushing the boundaries of what's possible with wearable sensor technology.
Fall detection is an important safety feature, particularly for elderly populations. CSEM’s fall detection algorithms using only a 3D accelerometer achieve accuracy exceeding 95%, while maintaining low false alarm rates, essential for user acceptance and practical deployment. Our libraries can work with additional barometer sensing to optimize precision.
Our research includes context-aware systems deployed across different body locations (thorax, head, wrist), adapting detection sensitivity based on user activity, ensuring reliable protection without unnecessary alerts that erode user trust.
Sleep represents a unique motion analysis challenge, requiring algorithms to detect subtle movement patterns and distinguish between sleep stages using wearable sensor data.
CSEM’s actigraphy only-based algorithms classify sleep stages using wrist-worn accelerometers combined with photoplethysmography (PPG), achieving high accuracy. This enables consumer wearables to provide relevant sleep insights without requiring specialized equipment.
Sleep detection achieves over 97% accuracy in distinguishing sleep from wake states, providing foundational data to support comprehensive sleep quality assessment with additional sensing (e.g., Photoplethysmography).
Sports represent a major application domain where human motion analysis delivers competitive advantages. CSEM's technologies enable athletes and coaches to measure, analyze, and optimize performance across diverse sporting activities such as running, swimming, Nordic walking, hiking. By combining our highly accurate speed calculations with heart rate sensing, our VO2Max algorithms calculate maximum oxygen uptake with mean absolute percent errors below 10% with respect to lab reference values, reducing the reliance on complex metabolic cart measurements.
Through collaboration with strategic partners, CSEM enables athletes of all levels to access more meaningful training insights and performance indicators to optimize their workouts.
CSEM's technology advantages
From clinical gait rehabilitation to elite sports performance, our validated algorithms power real-world applications across healthcare, sports, and wellness sectors. One platform, endless possibilities:
✅ Accuracy for medical applications
✅ Real-time processing for immediate feedback
✅ Multi-application versatility
👉 Talk to our experts and schedule a demo to see our technology in action for your specific use case.
CSEM continues advancing the field of motion analysis through a range of cutting-edge research initiatives:
As wearable technology evolves, human motion analysis will play an expanding role in preventive healthcare, personalized fitness, clinical diagnostics, and human performance optimization.
CSEM’s movement analysis technologies are trusted by leading wearable manufacturers and research institutions worldwide.