Wearable training platform
FLEX-MOVE combines garment-embedded sensors, real-time AI analysis, and adaptive coaching to make every exercise session more readable, more measurable, and more effective for users, coaches, and gym operators.
How it works
FLEX-MOVE is organized as a 3-software platform. The AI layer processes exercise logic and training personalization, the mobile app manages the live session with the user, and the admin dashboard exposes operations and B2B controls for gyms and personal trainers.
Software A
Server-side layer responsible for exercise analysis, adaptive coaching logic, and centralized data handling.
Software B
User-facing mobile layer that turns platform outputs into a guided, real-time training session.
Software C
Operational layer for gyms and PTs to monitor clients, configure services, and manage B2B access.
A↔B
The app sends motion and session data to the AI platform, then receives scored analysis, corrective cues, and next-step guidance.
B↔C
Session outcomes generated in the mobile app feed the dashboard so gyms and PTs can review adherence, progress, and client-level trends.
A↔C
Administrators define catalog, rules, and service settings while the AI platform returns performance insights and system-level recommendations.
Real-time session engine
During every session FLEX-MOVE streams sensor data through its AI layer and returns corrective cues, rep scoring, and tempo guidance in real time, so the user can adjust technique before the set is over.
Joint angles and segment positions are rebuilt frame by frame from garment sensor data, providing a continuous digital twin of the exercise.
When alignment drifts or tempo breaks from the target pattern, the app delivers immediate visual and haptic prompts to bring execution back on track.
Each repetition is scored individually against the active KPI set, so the user sees quality evolve within the same set rather than waiting for a post-session summary.
A real-time avatar mirrors the user's movement and overlays the reference pattern, making form deviations visible at a glance.
KPI and scoring engine
FLEX-MOVE reconstructs the exercise in real time and translates raw joint tracking into technical KPIs that coaches, therapists, and operators can read at a glance.
Measures joint angular displacement during exercise, tracking the minimum and maximum angle reached by each monitored joint.
Compares left and right side movement patterns to detect compensation strategies, asymmetries, and side-to-side imbalances.
Evaluates postural control and core engagement during both static holds and dynamic transitions to reveal loss of balance or segment drift.
Tracks how long the target musculature stays under load for each repetition and each set, a key parameter for hypertrophy-oriented programming.
Counts repetitions automatically with form validation, registering only reps that exceed the minimum execution-quality threshold.
Monitors skeletal alignment against a reference posture and flags deviations involving the spine, shoulders, hips, and other critical segments.
Measures movement velocity across concentric and eccentric phases to support power work, intent analysis, and tempo control.
Acts as a meta-metric for sensor reliability, indicating signal consistency and the confidence level of the reconstructed movement model.
Estimates energy expenditure from movement intensity, session duration, and user-profile variables to contextualize training load.
Composite score
The composite score aggregates every KPI into one normalized rating, prioritizing movement accuracy, control, repeatability, and signal reliability for a single session-level outcome.
Training objectives
FLEX-MOVE groups the training experience into four macro-categories. Each mode changes the session focus, the physiological adaptation being targeted, and the live KPIs that matter most when the platform decides what to score and which corrective cue to surface.
Focuses on combining high-intensity blocks with cardio work to sustain caloric deficit while keeping execution quality measurable. FLEX-MOVE supports this mode by tracking rep count, time per rep, TUT, metabolic calorie estimate, and exercise pace, then issuing micro-feedback when intensity drops, eccentric tempo becomes too fast, or tracking quality reduces session reliability.
The rationale is increased post-workout energy expenditure (EPOC), preservation of lean mass during fat loss, and improved cardiovascular resistance. In practical terms, the session is built to raise total energy turnover without letting technique collapse as fatigue accumulates.
Covers maximal strength, hypertrophy, explosive force, and progressive overload. FLEX-MOVE emphasizes alignment, concentric and eccentric velocity, ROM at key joints, and user-entered load with perceived intensity so the app can flag unstable reps, reduced movement amplitude, or loss of phase alignment against the standard avatar.
This category targets neuromuscular recruitment, higher mechanical tension, muscle mass development in the 6-12 rep range, and better core-driven stability. The platform rationale is not only lifting more, but producing force with repeatable posture, controlled tempo, and less compensatory movement.
Focuses on joint mobility, smoother movement amplitude, and active recovery. FLEX-MOVE is most useful here through ROM, left-right symmetry, trunk stability, and posture correction feedback, helping the user distinguish true mobility gain from compensation patterns such as shoulder elevation, pelvic shift, or reduced control near end range.
The expected benefits are lower muscle stiffness, better tolerance to sedentary loading, injury prevention through tendon and muscle preparation, and improved postural recovery after harder sessions. The underlying fitness logic is that usable flexibility depends on control through the full available range, not passive stretch alone.
Designed for movement preparation and more reactive exercise sequences. FLEX-MOVE supports this category by prioritizing live velocity, ROM, tracking confidence, and rapid correction prompts so the athlete can see whether warm-up and dynamic drills are actually improving movement readiness instead of just increasing volume.
The goal is to raise body temperature, make muscles and joints more elastic, activate the nervous system for fast and explosive actions, and improve circulation. That makes this mode especially useful before power work or sport-specific tasks where timing and readiness matter as much as raw strength.
Smart clothing system
The FLEX-MOVE inner layer integrates garment-embedded IMU sensors, Bluetooth Low Energy connectivity, and a short calibration flow so users can start guided exercise sessions with technical tracking and minimal setup.
01
The base layer captures shoulder, trunk, and scapular movement through a distributed IMU layout designed for repeatable upper-body tracking.
02
The wearable communicates with the mobile experience through a lightweight wireless workflow suitable for live coaching sessions.
03
Calibration is designed to be short enough for everyday use before a session starts.
Sensor discovery and pairing run automatically, reducing manual setup before training.
04
The product is conceived as an athletic base layer that stays close to the body so motion data remains stable during exercise.
Placement overview
Illustrative sensor points mark left and right shoulder zones, the sternum line, and the upper-back anchor area used to stabilize posture tracking.
Image area prepared
These product visuals show the approved male and female inner-layer configurations used in the public FLEX-MOVE technical overview.
Reference image extracted from the approved product source for the male inner-layer configuration used in the public technical overview.
Reference image extracted from the approved product source for the female inner-layer configuration, highlighting the integrated wearable layout.
Gym and PT analytics
FLEX-MOVE does more than score a single repetition. It organizes session data into dashboards, client timelines, and predictive signals that help gyms and personal trainers standardize coaching quality, retain clients longer, and intervene before progress stalls.
Dashboard analytics
Reporting viewSession-level measurements are rolled up into client and group KPI views so staff can compare execution quality, workload trends, and week-over-week movement changes without manual spreadsheets.
Client tracking
Profile depthEvery athlete or rehabilitation client can be followed longitudinally, making it easier to justify program changes, review attendance behavior, and coordinate follow-up between multiple trainers.
Predictive insights
Decision supportOnce the platform has enough historical observations, it can flag emerging risk patterns and suggest where programming needs to change before the client or coach loses momentum.
RiminiWellness 2026
Move&Feel will present the advanced FLEX-MOVE prototype at RiminiWellness 2026, bringing its guided training concept into one of Europe's best-known wellness and fitness trade events.
Dates
28-31 May 2026
Location
Fiera di Rimini / Italian Exhibition Group
Edition
20th edition
Hours
9:30-19:00, Thursday to Sunday
Move&Feel context
The Rimini presentation is centered on the advanced FLEX-MOVE prototype: a smart garment and digital training system designed to make guided movement, exercise feedback, and session readability more concrete for visitors and professional partners.
The project also builds on the recognition Move&Feel received during the Invitalia-backed Innovation Area activities at RiminiWellness 2025.
Visitors can expect a practical overview of the wearable prototype, the logic behind its feedback-driven training flow, and an opportunity to discuss how the concept connects the garment, the app, and the wider platform.
Coming soon