DIGITAL HEALTH & MOVEMENT TECHNOLOGY
Digital Health Technologies
Exploring digital technologies that can support movement assessment, rehabilitation, monitoring and healthy ageing.
Advances in computer vision, artificial intelligence, wearable sensing and digital rehabilitation are creating new ways to assess movement and deliver care beyond conventional laboratory and clinic-based approaches.
WHY DIGITAL HEALTH?
Extending Movement Assessment Beyond the Clinic
Many conventional movement assessments depend on specialised equipment, trained personnel or direct observation. Digital technologies may allow selected aspects of movement and function to be captured more efficiently and potentially across a wider range of settings.
Their usefulness, however, depends on more than technical capability. Clinical relevance, measurement quality, usability, safety and implementation within existing care pathways all need to be considered.
ASSESSMENT
Quantify movement
Camera, sensor and AI technologies can generate objective movement-related measures from tasks such as walking, balance or exercise.
MONITORING
Track change over time
Repeated digital assessments can support longitudinal monitoring of mobility, function and rehabilitation progress.
REHABILITATION
Support practice
Digital platforms may provide exercise guidance, feedback, coaching and remote rehabilitation support.
IMPLEMENTATION
Extend reach
Technologies may help move selected assessments and interventions into homes, community settings and other real-world environments.
TECHNOLOGY LANDSCAPE
Examples of Movement-related Technologies
The technologies below illustrate different approaches to digital movement assessment and rehabilitation. Inclusion is for educational and research reference and does not represent endorsement, clinical recommendation or equivalence between products.
CareCam
3DGait · Vis-Frailty
Camera-based movement technology using 3D vision AI to generate objective mobility information from human movement.
CaptureProof
Smart Medical Camera
Camera-based digital health platform supporting remote capture and longitudinal visual assessment of movement and physical health.
EliteFit.AI
AI-supported exercise and rehabilitation
Computer-vision technology supporting remote exercise, fitness and physiotherapy applications using commonly available digital devices.
Rootally AI
Home-based digital rehabilitation
Digital rehabilitation platform supporting exercise programmes and rehabilitation sessions through mobile technology.
Move.ai
Markerless motion capture
Computer-vision technology that reconstructs human movement without physical markers. Its principal market is motion capture rather than healthcare, but the underlying technology illustrates opportunities for movement research and biomechanical applications.
Technology capabilities, regulatory status, commercial availability and supporting evidence can change. Users should verify current product information directly with the developer before clinical or research adoption.
TECHNOLOGY TYPES
Different Technologies Answer Different Questions
The term digital health technology covers a wide range of products and enabling technologies. Selection should begin with the clinical or research question rather than with the technology itself.
Camera-based Assessment
Computer vision and pose estimation may enable movement assessment using smartphones, tablets or cameras.
Example: gait · balance · range of motionWearable Sensing
Inertial sensors and wearable devices can capture movement continuously or during structured assessments.
Example: activity · gait · physical behaviourDigital Rehabilitation
Software platforms can support exercise prescription, remote supervision, feedback and progression.
Example: home exercise · coaching · adherenceMarkerless Motion Capture
AI-enabled video processing can reconstruct detailed human movement without traditional reflective markers.
Example: movement research · biomechanicsRemote Monitoring
Digital platforms can support repeated assessment and communication between individuals and care teams.
Example: recovery · functional change · symptomsDigital Biomarkers
Algorithms may derive quantitative features from movement data that can potentially support screening, monitoring or clinical research.
Example: mobility · frailty · movement characteristicsEVALUATING DIGITAL HEALTH TECHNOLOGY
Look Beyond the Technology
A technically impressive product is not automatically a clinically useful one. Evaluation should consider the intended purpose, evidence, users, healthcare environment and requirements for sustainable implementation.
Clinical relevance
Does the technology address a meaningful clinical, functional or research need?
Measurement validity
Does the output accurately and reliably represent the movement or health construct being measured?
Usability
Can intended users understand and operate the technology in the environment where it will be deployed?
Safety
What physical, clinical, algorithmic or decision-making risks could arise from its use?
Data governance
Consider privacy, cybersecurity, data ownership, storage, access and regulatory requirements.
Workflow fit
Does the technology integrate with existing care pathways, staff roles and information systems?
Cost and value
Consider hardware, licensing, staff time, implementation costs and potential clinical value.
Equity and scalability
Consider accessibility across populations and whether the technology can be sustainably deployed at scale.
EVIDENCE BEFORE ADOPTION
Innovation Is Not the Same as Clinical Validation
Digital technologies can evolve more rapidly than conventional healthcare evidence. Product claims, technical performance, clinical measurement validity, clinical effectiveness and real-world implementation therefore need to be considered separately.
Evidence should be interpreted according to the specific technology, version, population, setting and intended use.
MOVEMENT HEALTH
From Digital Measurement to Meaningful Action
Digital measurement is most useful when it contributes to understanding the person and supports an appropriate clinical or health decision.
Capture
Collect movement or functional information using an appropriate digital technology.
Interpret
Translate digital outputs into clinically or functionally meaningful information.
Act
Use the information to support assessment, rehabilitation or health decision-making.
Reassess
Repeat measurement where appropriate to evaluate change and progress.
FALLS & HEALTHY AGEING
Potential Applications in Falls Research
Digital technologies may complement conventional assessment by providing additional information about movement and function relevant to falls prevention and management.
PRE-FALL
Balance & mobility
Digital assessment of walking, mobility, functional performance and balance-related movement.
NEAR-FALL
Reactive movement
Research opportunities involving detection and quantification of balance-recovery responses.
REHABILITATION
Exercise & feedback
Digital guidance and monitoring to support selected rehabilitation and movement-practice programmes.
LONGITUDINAL
Functional change
Repeated measurement may support monitoring of mobility trajectories and changes in functional health.
IMPORTANT
Technology Directory Disclaimer
Technologies and companies listed on this page are included for educational and research reference. Inclusion does not constitute endorsement by FallsEfficacy.com or the Singapore Institute of Technology.
Regulatory status, validated use cases, evidence, specifications and commercial availability may differ between countries and may change over time. Users should independently evaluate each product for their intended application.
EXPLORE
Digital Health Within the Research Programme
Evaluate Technology With Purpose
Start with the clinical or research question, then determine whether a digital technology provides valid, useful and implementable information for that purpose.