The edaMove is a psycho physiologic ambulatory measurement system that can detect and measure Electro-dermal Activity (also known as Galvanic Skin Response).

The sensor acquires the raw data of the EDA and the 3D acceleration of a subject for up to 2 weeks. From this data secondary parameters like skin conductance level (SCL), skin conductance responses (SCR), and activity intensity can be calculated with the movisens DataAnalyzer software.

Containing the precise 3D acceleration capture technology that comes in all of our sensors, the edaMove is optimized for research applications. The ability to capture motion, barometric pressure and temperature allows a more precise analysis of the data. These parameters allow the clear identification of measurement artefacts that normally hinder the assessment of EDA data in an ambulatory setting.

The sensor is worn with a wristband and comes with multi-use sintered electrodes.

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Top features

  • Complies with all relevant EDA-standards
  • Perfect signal quality in everyday life
  • Includes 3D acceleration sensor for the acquisition of physical activity and context information
  • Sustainable data due to open file format
  • Operation optimized for studies
  • Open interfaces: SDK for Bluetooth and USB


  • Mobile long-term monitoring of EDA (elecrodermal activity) / GSR (galvanic skin resonse)
  • Psycho physiologic monitoring
  • Research of the autonomic nervous system (ANS)
  • Behavioral monitoring
  • Industrial psychology
  • Clinical psychology
  • Affective computing
  • Integration into complex systems possible

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Data examples
External Tools

Technical data

Power supply

Lithium-Ion battery

Supply voltage

3 V

Accumulator voltage

2.7 – 4.2 V

Number of charging cycles

300 with 1C/1C > 80%

Maximum recording capacity

~ 2 weeks, depending on manufacturer configuration

Battery run time (recording, Bluetooth off)

~ 1,5 days

Size of sensor

(W x H x D )

62.3mm x 38.6mm x 10.5mm

Weight of sensor

26,2 g

Internal sensors

EDA / GSR amplifier:

Exosomatic method, DC, 0.5V

Resolution 14bit, Input range

2µS up to100µS

Bandwith: DC to 8Hz

Output rate: 32Hz


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)

Vibrating alert (start and end of measurement)


Micro-USB, Bluetooth

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


  • 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...
  • Electrodermal activity patterns in sleep stages and their utility for sleep versus wake classification.
    Anne Herlan & Jörg Ottenbacher & Johannes Schneider et al. (2018) in: Journal of sleep research. Read more...
  • A mixed-methods study of physiological reactivity to domain-specific problem solving: methodological perspectives for process-accompanying research in VET.
    Tobias Kärner (2017) in: Empirical Research in Vocational Education and Training (9). Read more...
  • Estudo piloto em câmara climática: efeito da luz natural em aspectos de saúde e bem-estar não relacionados à visão.
    Cintia Akemi Tamura & Eduardo Leite Krüger (2016) in: Ambiente Construído (16). Read more...
  • Detecting cognitive underload in train driving: A physiological approach.
    Dan Basacik & Sam Waters & Nick Reed (2015). Read more...
  • Mobile Sensors for Multiparametric Monitoring in Epileptic Patients.
    Stefan Hey & Panagiota Anastasopoulou & André Bideaux et al. (2015) in: Cyberphysical Systems for Epilepsy and Related Brain Disorders: Multi-parametric Monitoring and Analysis for Diagnosis and Optimal Disease Management. Read more...
  • A personalized and reconfigurable cyberphysical system to handle multi-parametric data acquisition and analysis for mobile monitoring of epileptic patients.
    A. Bideaux & P. Anastasopoulou & S. Hey et al. (2014) in: Sensing and Control S&C BArcelona, Spain. Read more...
  • Evaluation of environmental effects on the measurement of electrodermal activity under real-life conditions.
    Dorothee Kapp & Kristina Schaaff & Jörg Mathias Ottenbacher et al. (2014) in: Biomedical Engineering / Biomedizinische Technik (59).
  • Komfortgewinn für Passagiere auf Langstreckenflügen durch den Einsatz chronobiologisch angepasster LED-Kabinenbeleuchtung.
    A. Leder & J. Krajewski & S. Schnieder (2013) in: Deutscher Luft- und Raumfahrtkongress 2013, Stuttgart. Read more...
  • Publication recommendations for electrodermal measurements.
    WALTON T ROTH & MICHAEL E DAWSON & DIANE L FILION (2012) in: Psychophysiology (49).

You can find more publications here.