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.

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.