The Move 3 is the most precise mobile sensor for the acquisition of physical activity available today. Now equipped with a Bluetooth Smart interface, the sensor can transmit a live analysis of data calculated on board the sensor. It is designed and optimized for research applications and for interactive ambulatory assessment.

The sensor records the raw data of 3D acceleration, barometric air pressure and temperature for up to 2 months.

From this data secondary parameters like activity class, body position, steps, energy expenditure, metabolic equivalents (MET) and additional reports (pdf) can all be easily calculated with the movisens DataAnalyzer software.

The sensor can be fixed with a clip at the hip (Move 3 Clip, Art.Nr. 10111) as well as with a band at the wrist (Move 3 Wrist, Art.Nr. 10112).

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Top features

  • Live analysis of data on the sensor
  • Bluetooth Smart interface
  • Exact and validated recognition of everyday activities
  • Exact and validated energy expenditure calculation
  • Better results due to barometric altitude sensor
  • Sustainable data due to open file format
  • Operation optimized for studies
  • Java API for USB (Windows)
  • API: Example implementation for Bluetooth Smart (Android)


  • Interactive Ambulatory Assessment
  • Behavioral monitoring
  • Energy expenditure calculation
  • Activity recognition
  • Step detection
  • Acquisition of body positions
  • Recognition of inactivity, sitting and standing

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Example data
Example reports
External Tools

Technical data

Power supply


Supply voltage

3 V

Battery voltage

3,0 - 4,2 V

Number of charging cycles

300 with 1C/1C > 80%

Maximum recording capacity

~2 months

Battery run time (recording)

~7 days

Size of sensor

(W x H x D)

62,3 x 38,6 x 11,5 mm

Weight of sensor

25 g

Internal sensors

3D acceleration sensor:

Measurement range: +/- 8 g

Noise: 4 mg

Output rate: 64 Hz


Pressure sensor:

Measurement range: 300 - 1100 hPa

Noise: 0.03 hPa

Output rate: 1 Hz


LED, 3-color

(operation and charging status)

Vibration alarm

(start and end of measurement)


Micro-USB, Bluetooth Smart

Environmental conditions


-20 °C to 60 °C

0 °C to 45 °C during charging


0 to 75% RH relative humidity

Atmospheric pressure:

300 to 1100 hPa absolute

Literature and validation

  • Actigraph-Measured Movement Correlates of Attention-Deficit/Hyperactivity Disorder (ADHD) Symptoms in Young People with Tuberous Sclerosis Complex (TSC) with and without Intellectual Disability and Autism Spectrum Disorder (ASD)..
    T. Earnest & E. Shephard & C. Tye et al. (2020) in: Brain Sciences (8). Read more...
  • Accuracy of Sedentary Behavior–Triggered Ecological Momentary Assessment for Collecting Contextual Information: Development and Feasibility Study.
    M. Giurgiu & C. Niermann & U. Ebner-Priemer et al. (2020) in: JMIR mHealth and uHealth (8). Read more...
  • Mood and dysfunctional cognitions constitute within-subject antecedents and consequences of exercise in eating disorders..
    M. Reichert & S. Schlegel & F. Jagan et al. (2020) in: Psychotherapy and Psychosomatics (89). Read more...
  • OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake..
    P.-V. Rouast & H. Heydarian & M.-T.-P. Adam et al. (2020). Read more...
  • Improving mobility and participation of older people with vertigo, dizziness and balance disorders in primary care using a care pathway: feasibility study and process evaluation.
    E. Seckler & V. Regauer & M. Krüger et al. (2020) in: Research Square. Read more...
  • Fear of Physical Activity, Anxiety, and Depression. Barriers to Physical Activity in Outpatients With Heart Failure?.
    H. Spaderna & J. M. Hoffmann & S. Hellwig et al. (2020) in: European Journal of Health Psychology (27). Read more...
  • The Freiburg sport therapy program for eating disorders: a randomized controlled trial..
    A Zeeck & S. Schlegel & F. Jagan et al. (2020) in: Journal of Eating Disorders (8). Read more...
  • Using Acceleration Data for Detecting Temporary Cognitive Overload in Health Care Exemplified Shown in a Pill Sorting Task.
    L. Kohout & M. Butz & W. Stork (2019) in: 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).
  • Sedentary behavior in everyday life relates negatively to mood: An Ambulatory Assessment study.
    Marco Giurgiu & Elena D. Koch & Jörg Ottenbacher et al. (2019) in: Scandinavian Journal of Medicine & Science in Sports (29). Read more...
  • Promotion of physical activity-related health competence in physical education: study protocol for the GEKOS cluster randomized controlled trial.
    Stephanie Haible & Carmen Volk & Yolanda Demetriou et al. (2019) in: BMC Public Health (19). Read more...
  • Dynamics of Intraindividual Variability in Everyday Life Affect Across
    Adulthood and Old Age.
    M. Katana (2019).
  • Real-Time Detection of Spatial Disorientation in Persons with Mild Cognitive Impairment and Dementia.
    J. Schaat & P. Koldrack & K. Yordanova et al. (2019) in: Gerontology (1).
  • Neural correlates of individual differences in affective benefit of real-life urban green space exposure.
    Heike Tost & Markus Reichert & Urs Braun et al. (2019) in: Nature Neuroscience (7). Read more...
  • Energy Expenditure During Incline Walking – Benefits of Integrating a Barometer into Activity Monitors.
    Manuel Armbruster & Panagiota Anastasopoulou & Stefan Altmann et al. (2018) in: American Journal of Sports Science (6). Read more...
  • Individual Differences in the Competence for Physical-Activity-Related Affect Regulation Moderate the Activity–Affect Association in Real-Life Situations.
    Gorden Sudeck & Stephanie Jeckel & Tanja Schubert (2018) in: Journal of Sport and Exercise Psychology (40). Read more...
  • Embodied learning in the classroom: Effects on primary school children's attention and foreign language vocabulary learning.
    Mirko Schmidt & Valentin Benzing & Amie Rae Wallman-Jones et al. (2018) in: Psychology of Sport and Exercise (43). Read more...
  • Intermittent Fasting (Alternate Day Fasting) in Healthy, Non-obese Adults: Protocol for a Cohort Trial with an Embedded Randomized Controlled Pilot Trial.
    Norbert J. Tripolt & Slaven Stekovic & Felix Aberer et al. (2018) in: Advances in Therapy (35). Read more...
  • A novel algorithm for detecting human circadian rhythms using a thoracic temperature sensor Article history :.
    Aly Chkeir & Farah Mourad-chehade & Jacques Beau et al. (2017) in: Advances in Science, Technology and Engineering Systems Journal (2). Read more...
  • Physical Activity and Depressive Mood in the Daily Life of Older Adults.
    Andrea E. Gruenenfelder-Steiger & Marko Katana & Annika A. Martin et al. (2017) in: GeroPsych (30). Read more...
  • Measuring Fear of Physical Activity in Patients with Heart Failure.
    Jeremia M. Hoffmann & Susan Hellwig & Vincent M. Brandenburg et al. (2017) in: International Journal of Behavioral Medicine (25). Read more...
  • Lightweight Visual Data Analysis on Mobile Devices - Providing Self-Monitoring Feedback.
    Simon Butscher & Yunlong Wang (2016) in: VVH 2016 - 1st International Workshop on "Valuable visualization of healthcare information": from the quantified self data to conversations (in conjunction with AVI '16). Read more...
  • Contributions à l’élaboration d’un système d’aide médico-sociale à l’aide d’un robot humanoïde.
    Louise Devigne (2015).
  • Situationsadaptive Navigationsassistenz für Menschen mit Demenz.
    Philipp Koldrack & Ron Henkel & Katja Zarm et al. (2015) in: AAL-Kongress 2015. Read more...
  • Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients.
    Dimitrios Triantafyllopoulos & Panagiotis Korvesis & Iosif Mporas et al. (2015) in: Journal of Medical Systems (40). Read more...
  • Bewegungsangst bei chronischer Herzinsuffizienz – Erste Ergebnisse zur Validierung eines Messinstruments..
    Susan; Hennig Diane; Hoffmann Jeremy M.; Anastasopoulou Panagiota; Hey Stefan Spaderna Heike; Hellwig (2015) in: 12. Kongress der Fachgrupppe Gesundheitspsychologie - Abstracts. Read more...
  • Fitness, kognitive Leistungsfähigkeit und Wohlbefinden bei jungen Erwachsenen - Interventionsstudien zum Einfluss von Ausdauertraining.
    Katrin Walter (2015).
  • Validation and comparison of two methods to assess human energy expenditure during free-living activities.
    Panagiota Anastasopoulou & Mirnes Tubic & Steffen Schmidt et al. (2014) in: PLOS (PLoS ONE 9(2): e90606). Read more...
  • Erfassung körperlicher Aktivität mittels Akzelerometrie - Möglichkeiten und Grenzen aus technischer Sicht.
    Stefan Hey & Panagiota Anastasopoulou & Birte von Haaren (2014) in: Bewegungstherapie und Gesundheitssport (30(02)). Read more...
  • Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study)..
    Layal Shammas & Tom Zentek & Birte von Haaren et al. (2014) in: Biomedical engineering online (13). Read more...
  • Detection of Parameters to Quantify Neurobehavioral Alteration in Multiple Sclerosis Based on Daily Life Physical Activity and Gait Using Ambulatory Assessment.
    Layal Shammas & Birte von Haaren & Angela Kunzler et al. (2014) in: Zeitschrift für Neuropsychologie (25). Read more...
  • Using Support Vector Regression for Assessing Human Energy Expenditure Using a Triaxial Accelerometer and a Barometer.
    Panagiota Anastasopoulou & Sascha Härtel & Mirnes Tubic et al. (2013) in: Wireless Mobile Communication and Healthcare.
  • A Comparison of Two Commercial Activity Monitors for Measuring Step Counts During Different Everyday Life Walking Activities.
    Panagiota Anastasopoulou & Sascha Härtel & Stefan Hey (2013) in: International Journal of Sports Science and Engineering (Vol. 07 (2013) No. 01). Read more...
  • The Association between Short Periods of Everyday Life Activities and Affective States: A Replication Study Using Ambulatory Assessment.
    Thomas Bossmann & Martina Kanning & Susanne Koudela-Hamila et al. (2013) in: Frontiers in Psychology (4). Read more...
  • Characteristics of the activity-affect association in inactive people: an ambulatory assessment study in daily life.
    B. von Haaren & S.N. Loeffler & S. Haertel et al. (2013) in: Frontiers in Movement Science and Sport Psychology (4).
  • Acute and medium term effects of a 10-week running intervention on mood state in apprentices.
    Katrin Walter & Birte von Haaren & Simone Löffler et al. (2013) in: Frontiers in Movement Science and Sport Psychology (4). Read more...
  • Measurement of daily mobility under fampridine-therapy with Movisens-system in patients with multiple sclerosis.
    R. Kempcke & T. Schultheiß & S. Sobek et al. (2012) in: 28th European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS).
  • Assessment of Human Gait Speed and Energy Expenditure Using a Single Triaxial Accelerometer.
    Panagiota Anstasopoulou & Shammas Layal & Stefan Hey (2012) in: Wearable and Implantable Body Sensor Networks (BSN), 2012 Ninth International Conference on. Read more...
  • Aktuelle Messverfahren zur objektiven Erfassung körperlicher Aktivitäten unter besonderer Berücksichtigung der Schrittzahlmessung.
    D. Rosenbaum (2012) in: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (55). Read more...
  • Kindergarten in Bewegung. Zur Qualität von Bewegungskindergärten..
    R. Schwarz (2012) in: Kita aktuell.
  • Assessment der Mobilität im Alltag zur Unterstützung von MS-Patienten.
    Shammas, L. & Bachis, S. & Anastasopoulou, P. et al. (2012) in: 15. Jahrestagung der dvs-Kommission Gesundheit, Leipzig..
  • A new method to estimate energy expenditure using accelerometry and barometry-based energy models.
    Panagiota Anastasopoulou & Layal Shammas & Jürgen Stumpp et al. (2011) in: 45. DGBMT Jahrestagung. Freiburg.
  • Validity of the kmsMove-sensor in calculating energy expenditure during different walking intensities.
    B. von Haaren & J.-P. Gnam & S. Helmholdt et al. (2011).
  • Estimation of energy expenditure using accelerometers and activity-based energy models - validation of a new device.
    S. Härtel & J. P Gnam & S. Löffler et al. (2011) in: European Review of Aging and Physical Activity (Volume 8). Read more...
  • Trends und Möglichkeiten zur Erfassung körperlicher Aktivität im Alltag.
    S. Hey & U. Großmann & J. Ottenbacher et al. (2011) in: Kinder bewegen - wissenschaftliche Energien bündeln. Jahrestagung der dvs-Kommission Gesundheit, Karlsruhe.
  • Einsatz sensorgestützter Verfahren im Gesundheitswesen: Herausforderungen und Lösungsansätze.
    D.I.D.S. Saboor & M.F.H.M. Schallhart (2011).
  • Bewegungskindergärten: empirische Befunde und praktisches Wissen.
    R. Schwarz (2011) in: S. Baadte, K. Bös, S. Scharenberg, R. Stark, A. Woll (Hrsg.), Kinder bewegen - Energien nutzen (S. 65-75). Landau: VEP..
  • Energieumsatzmessung mit Aktivitätssensoren – Validität des kmsMove-Akzelerometers.
    B. von Haaren & J.-P. Gnam & S. Härtel et al. (2011) in: Kinder bewegen - wissenschaftliche Energien bündeln..

You can find more publications here.