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Activity Monitoring

Light and Activity Sensor

The best tool for measuring physical activity and light in everyday life!




LightMove 4 - Light and Activity Sensor


LightMove 4 worn

It has never been so easy to capture light and movement data quickly and precisely in everyday life!


The LightMove 4 combines excellent signal acquisition with unsurpassed convenience, a benefit for both participants and researchers alike. Begin your study assured in the quality of your data's fitness for publication.

High precision

Obtain precise data from our advanced device platform, capturing a multitude of signals at research level quality. Benefit from our tested and validated algorithms or conduct your own analysis from the raw data.


Whatever your approach, our sensors make data acquisition in every-day life easy and efficient. All the data you need, from when you need it.

Everyday life and real time

Analyse your participants in their every-day life with extensive measurement durations.


In addition, movisens offers the unique option of sensor coupling for all our sensors. Whilst recording the participants physiology, our sensors analyze physiological parameters and transmit the results via Bluetooth to a smartphone equipped with movisensXS. Algorithms within movisensXS process this data and can trigger a questionnaire for the participant when the set conditions occur. If you want to investigate physiological changes such as a high level of activity or sedentary behavior, such events can act as triggers for queries within the study.

Multimodal data analysis

Combine your activity data with experience sampling data.


The LightMove 4 offers researchers superior flexibility as our analysis algorithms extract accurate activity parameters from a variety of wearing positions. This allows you to find the most convenient solution for your participants and your study. To get the most out of the raw data captured by the sensor, most researchers prefer to analyze it using the movisens DataAnalyzer's, AI-based, validated algorithms.

LightMove 4
https://www.movisens.com/en/products/light-and-activity-sensor/
Apply for free student project
Documentation of the LightMove 4

Benefit from our many years of experience in the field of ambulatory assessment and let us put together the right analysis solution for you

Software_DataAnalyzer

DataAnalyzer

Modular software for sensor data analysis and report generation

Smartphone mit movisensXS

movisensXS

The most comprehensive mobile research platform for Experience Sampling

Software DataMerger
DataMerger

Tool for the integration of data assessed with different methods

Our LightMove 4 is used in the following areas




running person

Activity Monitoring

  • Measurement of steps, activity classes, movement intensity and/or activity level
  • Energy Expenditure estimation in everyday life
  • Joint recording of objective and subjective aspects of physical activity

  • Recommendations for activity monitoring

Sedentary Behaviour

  • Acquisition of inactivity
  • Distinction between sitting/lying & standing
  • Capture sedentary behavioral changes and the intensity of physical activity

  • Recommendations for sedentary behaviour



sitting woman



hängematte

Sleep Monitoring

  • Sleep Detection
  • Assessment of the Intention to Sleep

  • Recommendations for Sleep Monitoring

Interactive Ambulatory Assessment

  • Investigating phases of physical activity and inactivity
  • Combining different sensor parameters
  • Trigger algorithms

  • Recommendations for IAA



young scientists

Look and Feel - Sleep Monitoring in an Ambulatory Setting

Matching products and services

ECGMove 4
EcgMove 4

Sensor for the acquisition of ECG- and activity data

EdaMove 4 worn
EdaMove 4

Sensor for the acquisition of electrodermal activity and activity data


Accessories and Consumables

Accessories and Consumables for the movisens sensors

Schulungs-Icon
Consulting

Consulting and Training regarding technologies and methods for ambulatory assessment and mobile monitoring

Customizing-Icon
Customizing

Adaption and extension of movisens products to your requirements

Workshops-Icon
Webinars

We offer webinars on themes related to ambulatory assessment, physiological parameters, and experience sampling

Useful Information

Raw data and live data

Raw data

Also known as primary data, this is obtained directly during an observation, measurement or data collection and remains unprocessed. It represents the original information recorded by sensors. Raw data from acceleration, ECG, and EDA are usually displayed as graphs. Calculating output parameters such as HR, steps, and energy expenditure from these raw signals requires algorithms fit for purpose.
Advantage:
Raw data allows long term storage and the implementation of new analysis methods, e.g. for a new algorithm, new AI and it can also be fed into other software.
Disadvantage:
They contain a large amount of data and require more storage space.

Live data

In addition to offline calculation, the LightMove 4 allows the live analysis of physical activity parameters in conjunction with movisensXS. In live mode, Movement Acceleration, Step Count, and Body Position can be measured, calculated and transmitted via the Bluetooth Smart interface at the rate of 1 value per minute.

Technical Data

Power supply

Lithium-Polymer-Battery

Battery voltage

3,7 V

Number of charging cycles

300 (with 1 C / 1 C > 80%)

Internal memory

4 GB

Maximum recording capacity

4 weeks

Battery run time

~ 7 days

Recharging time

~ 1 hour

Size of sensor (W x H x D)

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

Weight of sensor

26 g

Protection rate

Waterproof (IP64)

Internal sensors

Ambient light sensor:

Channels: 5 (red, green, blue, clear, IR)

Measurement range: 0-~45000 lux

Resolution: Up to ~0.011 lux (at low end)

Output rate: 1 Hz

 

3D acceleration sensor:

Measurement range: +/- 16 g

Output rate: 64 Hz

 

Rotation rate sensor:

Measurement range: +/-2000dps

Resolution: 70 mdps

Output rate: 64 Hz

 

Pressure sensor:

Measurement range: 300 - 1100 hPa

Noise: 0,03 hPa

Output rate: 8 Hz

 

Temperature sensor:

Output rate: 1 Hz

Live analysis

Light Mean

Movement Acceleration

Step count

Indicators

LED, 3-color

Vibration alarm

User Interfaces

Marker (tapping)

Interfaces

Micro-USB, Bluetooth Smart (4.0)

API

Java API for USB (Windows)

Example for Bluetooth Smart (Android)

Wear locations

Wrist

Wearing systems

Wrist Band

Environmental conditions

Temperature:

-20 °C to 60 °C

0 °C to 45 °C during charging

Atmospheric pressure:

300 to 1200 hPa absolute

Warranty

2 years

Literature and Validation

  • Bright light therapy versus physical exercise to prevent co-occurring depression in adolescents and young adults with attention-deficit/hyperactivity disorder: a multicentre, three-arm, randomised controlled, pilot phase-IIa trial.
    J.S. Mayer & L. Kohlhas & J. Stermann et al. (2024) in: Eur Arch Psychiatry Clin Neurosci. Read more...
  • The dynamical association between physical activity and affect in the daily life of individuals with ADHD.
    E.D. Koch & C. M. Freitag & J. S. Mayer et al. (2022) in: European Neuropsychopharmacology (57). Read more...
  • Wearable Light Sensors in Case Study Evaluations.
    W. Osterhaus & M. Gkaintatzi-Masouti & M. Gentile (2020) in: IEA SHC Task 61 / EBC Annex 77 »Integrated Solutions for Daylighting and Electric Lighting«. Read more...
  • Combining physical and cognitive training to improve kindergarten children’s executive functions: A cluster randomized controlled trial.
    M. Schmidt & M.-F. Mavilidi & A. Singh et al. (2020) in: Contemporary Educational Psychology (63). Read more...
  • Assessment of the circadian stimulus potential of an integrative lighting system in an office area.
    E.-C. Yilmaz & R. Abdulhaq (2020). Read more...
  • Emulación de dispositivos wearables y monitorización remota inteligente de pacientes pediátricos.
    P. Paz Varela (2020) in: VUC (Thesis).
  • Embodied learning in the classroom: Effects on primary school children's attention and foreign language vocabulary learning.
    M. Schmidt & V. Benzig & A. R. Wallman-Jones et al. (2019) in: Psychology of Sport and Exercise (43). Read more...
  • Bright light therapy versus physical exercise to prevent co-morbid depression and obesity in adolescents and young adults with attention-deficit / hyperactivity disorder: study protocol for a randomized controlled trial.
    Jutta S. Mayer & Katharina Hees & Juliane Medda et al. (2018) in: Trials (19). Read more...

All publications can be find here.

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