ICAMPAM 2026 Symposia

Symposium 1

HOW WE MOVE: REAL-WORLD MOBILITY SIGNATURES AS DIGITAL BIOMARKERS OF AGING AND WELL-BEING

Valerio Antonio Arcobelli 1, Martina Mancini 2, Jorunn Helbostad 3, Katrijn Smulders 4

1 University of Bologna, 2 Oregon Health & Science University, 3 Norwegian University of Science and Technology, 4 Sint Maartenskliniek

This symposium focuses on the role of real-world digital mobility outcomes (DMOs) as biomarkers of health, functional change, and disease burden across multiple clinical populations. Evidence from Parkinson’s disease, hip fracture, frailty, and orthopaedic conditions such as knee replacement will demonstrate how DMOs and daily physical activity patterns can estimate mobility impairment, recovery trajectories, and age-related decline. The session will address challenges in cross-population interpretation, methodological variability, and the distinction between generalisable and condition-specific constructs. Through expert discussion, it will outline priorities for harmonisation, standardisation, and the clinical application of real-world mobility assessment for rehabilitation, monitoring, and informed decision-making in ageing and disease, highlighting opportunities for future translational research.

Symposium 2

TOWARD HARMONISED USE OF WEARABLE DEVICES IN PHYSICAL ACTIVITY SURVEILLANCE

Matthew Ahmadi 1, Sarah Keadle 2, Laura Brocklebank 3, Julian  Martinez 4

1 University of Sydney, 2 California Polytechnic State University, 3 University College London, 4 National Cancer Institute

Wearable devices are increasingly used to estimate physical activity and sedentary behaviour, yet the absence of internationally agreed guidance on device selection, data collection and analytic approaches limits comparability and translation to global surveillance. To address this gap, WHO has convened a series of meetings to assess the evidence base, share country experience and identify priority research gaps. This symposium will present outcomes from meetings and will address approaches to device specifications and wear location, recent advances in cycling detection, the need for greater engagement with low- and middle-income countries, evidence of algorithm-driven variability in physical activity estimates, and preliminary work from the WAVES consortium to harmonise free-living reference datasets to inform algorithm selection. The session will conclude with a moderated discussion on implications for global surveillance and priorities for future research and collaboration.

Symposium 3

PROGRESS SO FAR AND CHALLENGES AHEAD FOR TRANSITIONING WEARABLE MOVEMENT SENSORS FROM RESEARCH INTO CLINICAL REHABILITATION CARE

Catherine Lang 1, Allison Miller 1, Miriam Rafferty 2

1 Washington University Medicine, 2 Shirley Ryan Ability Lab

Accumulating evidence indicates the need to measure activity in everyday life in rehabilitation clinical care. While there are many challenges to accurate tracking of activity in the research realm, these challenges increase tenfold moving to the clinical realm. This symposium will share two uses cases that integrated wearable movement sensor technology into clinical care. Three key considerations are: 1) the readiness to integrate sensor data (does sufficient evidence exist to deploy the metric(s)?), 2) the approach to integrate sensor data (how does the data move from the device to a place where clinicians can see it?), and 3) the presentation of sensor data to end users (can patients and clinicians understand and use the information?). A major goal of this symposium is to provide a look into the future and a discussion forum for researchers as they push forward with wearable movement sensor hardware, software, and metric development that is intended to facilitate human health.

Symposium 4

APPLIED SPORT SCIENCE IN UNIVERSITY AND PROFESSIONAL SPORTS: IMPLEMENTATION ACROSS ORGANIZATIONS, INTEGRATION WITH ACADEMIC LEARNING AND RESEARCH, AND FUTURE DIRECTIONS FOR PRACTITIONERS AND PROGRAMS

William Burghardt 1, Alexander Montoye 2, Dan Cencer 3, Emaly Vatne 4

1 Michigan State University, 2 Montcalm Community College, 3 Ohio State University, 4 Racing Louisville FC

Sport science is shifting from isolated tech use to an integrated, data-informed profession, but the applied sport scientist role is still unevenly defined, staffed, and trained across sport. This symposium brings four linked perspectives to map what the role is and how to build it. William Burghardt (Michigan State) describes the embedded Division I sport scientist who unites GPS/IMU monitoring, testing, medical collaboration, and coach reporting to close the “last-mile” gap from data to decisions. Dan Cencer (Ohio State) outlines how an athletics department can standardize platforms, policies, and staffing to scale sport science. Emaly Vatne (Racing Louisville FC) shows how monitoring is adapted to a pro women’s soccer environment. Alex Montoye explains how academic programs can produce practice-ready sport scientists and productive research lines. Attendees will leave with role definitions, staffing models, and education strategies for varied resources. 

Symposium 5

TOWARD STANDARDIZED MOBILITY MONITORING IN PARKINSON’S DISEASE: INTEGRATING DAILY-LIFE ASSESSMENT, AI ANALYTICS, AND FREEZING OF GAIT DETECTION

Martina Mancini 1, Jeffrey Hausdorff 2, Paolo Bonato 3

1 Oregon Health & Science University, 2 Tel Aviv University, 3 Harvard Medical School

This session will provide a timely and much-needed path toward standardized, AI-enhanced mobility monitoring in Parkinson’s disease. By addressing both methodological consistency and cutting-edge analytic techniques, the symposium aligns closely with ICAMPAM’s mission to advance wearable sensor research and digital mobility assessment.

Symposium 6

ALL STEPS ARE NOT MADE EQUAL: UNPACKING DAILY STEP COUNTS TO REVEAL NEW DIMENSIONS OF HEALTH

Matthew Ahmadi 1, Benjamin Maylor 2, Charles Matthews 3, Evelynne Fulda 2

1 University of Sydney, 2 University of Oxford, 3 National Cancer Institute

Daily step counts are strongly associated with health, but emerging evidence shows that how steps are accumulated may provide additional insight. This symposium showcases novel analyses exploring associations with health beyond daily step count. Presentations will examine refined cadence metrics, stepping patterns in cancer care, integration of heart-rate and cadence into a unified intensity indicator, and associations between stepping bouts and cardiometabolic health across diverse cohorts. Together, these talks highlight new movement phenotypes beyond daily totals, their relevance for disease risk and patient monitoring, and the discussion of opportunities for translating complex stepping characteristics into actionable public health guidance.

Symposium 7

DAILY-LIFE MOBILITY AS A PRECISION OUTCOME: GUIDING INTERVENTION ACROSS LIFESPAN AND HEALTH CONDITIONS

Vrutangkumar Shah 1, Jae Lee 1, Stephanie  Krasnow 1, Beth Smith 2

1 Oregon Health & Science University, 2 University of Southern California

This symposium highlights how real-world mobility assessment can guide targeted interventions across the lifespan, including Parkinson’s disease, cancer survivorship, mTBI, and infant motor development. Speakers will share findings from wearable sensor–based studies revealing subtle changes in gait and turning that inform functional recovery and rehabilitation strategies. Attendees will learn how daily-life mobility data can identify early risk, track treatment response, and support personalized, precision rehabilitation approaches across diverse clinical populations. 

Symposium 8

AI IN MOTION: STANDARDISING WEARABLES AND SCALING PERSONALISED HEALTH COACHING

Grace Dibben-Santillan 1, Matthew Ahmadi 2, Daniel Kim 3, Nicholas Koemel 2

1 University of Glasgo, 2 University of Sydney, 3 University of Washington

AI enabled wearables are transforming how movement behaviours are measured and how behaviour change support is delivered, yet wearables, artificial intelligence, and health coaching remain poorly integrated. This symposium brings these domains together to address what is needed for rigorous, scalable, and equitable AI wearable practice. Talks will introduce the TRACE global reporting framework for wearables, demonstrate advanced generative and large language model approaches for harmonising device signals and delivering theory driven coaching, and outline strategies for adapting autonomous AI coaching across cultures and contexts. A moderated, interactive panel will synthesise insights and engage the audience in discussing standards, real world implementation, and equity, providing clear, actionable takeaways for research and practice.