Introducing our new Sleep Report!

Person with book fell asleep on sofa

DataAnalyzer

Once again we expand the capabilities of the DataAnalyzer, incorporating a new Sleep Report. The Sleep Report provides a quick visual overview of the sleep activity of your participants.
It's the perfect tool to quickly assess their sleep behaviour, and also a fantastic reward for your participants to help encourage their study compliance.

Learn more

Winner Student Project of the Year 2021

The winner of the student project of the year competition 2021 from movisens has been determined!

During the last year movisens supervised more than 15 exciting student projects and received their application for the competition. Since all projects were groundbreaking and innovative, it was not easy for us to choose the winner. Nevertheless, there can only be one winner, so …
… Congratulations Wiebke Blum & Paulina Blum from Aalborg University for winning the Student Project of the Year Award 2021!

Here is a quick description of the student project they dealt with during the last year:

How does it feel to walk in Berlin?
Designing an Urban Sensing Lab to explore walking emotions through EDA sensing
Developments in technologies such as biosensors, GPS and ICT make real-time assessments in a participatory urban process increasingly efficient and accessible. With global, but also local ambitions to design sustainable, liveable, and barrier-free urban spaces, people and their desires are increasingly moving into the focus of science and practice. Urban walking and pedestrianfriendly cities have grown immensely in importance in recent years, reflecting not only necessary adaptations to climate change and the SDGs, but also the desires of modern citizens. For participatory and people-focused urban planning processes, the concept of Emotional City Mapping can help by providing an innovative approach to integrate people’s emotions. With both subjectively and objectively measurable, physiological data, more holistic analyses and images of an environment can be generated, leading to better informed decisions. The aim of this thesis is therefore to explore whether and how it is possible to collect such objective, emotional data and, furthermore, how it can be combined with other data sets and ultimately visualised in emotional maps. In an Urban Sensing Lab environment, geo-referenced emotional data is collected from participants via EDA sensors as they walk through a Berlin neighbourhood. Both individual points and clusters of stress can be detected, which can provide further information about the emotional experience. Finally, the designed emotional maps can be used for participatory planning and decision-making processes and support local transformation projects towards a more sustainable, inclusive, and pedestrian-friendly city of Berlin. read the whole paper...
movisens once again congratulates Wiebke & Paulina on this important research work and wishes all the best for your future projects!

The importance of accelerometry and gyroscope for eating behaviour and associated intake

The article "OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake“ (Rouast et al., 2020) shows a comprehensive multi-sensor recording of communal intake occasions for researchers interested in automatic detection of intake gestures.
Modern multi-sensors like the Move 4 provide researchers the ability to collect objectively a large dataset regarding the accelerometry and gyroscope-data. That is very important for automatic detection of intake gestures that is a key element of autonomic dietary monitoring. Read more and klick the article above.

Mobile Sensing

movisensXS provides researchers easy access to the Mobile Sensing features of smartphones. The additional insights derived through Mobile Sensing add context to questionnaire data, and can help determine optimal times for interventions. This is useful for researchers of Interactive Ambulatory Assessment. Learn more about the possibilities of Mobile Sensing and about Social Sensing and their application within Interactive Ambulatory Assessment in our recommendations and in our webinar.

Ecological Momentary Interventions with movisens

The solutions from movisens make Ecological Momentary Interventions realizable with movisensXS.

What triggers are possible
  • Questionnaire replies
  • Condition Mutable Values
  • Mobile Sensing
  • Sensor trigger
  • Complex analysis via analysis server (questionnaire answers, sensor data, also based on history)
  • Trigger from ExternerApp
How can interventions be designed
  • Text
  • Audio
  • Video
  • Generated feedback from the server
  • Gamification
  • Call external app

Learn more about the possibilities that movisens currently offers on EMIs

Study Diary VI

SedentaryMood-Study (Part VI)

The following article is part of a series about the "SedentaryMood-Study".


The practical implementation of the SedentaryMood-Study

In the last article the applied investigation plan was explained. The following article describes the practical implementation of the study.


Step by step

  • Preparation of the ethics proposal
  • Preparation of the respondent information and questionnaires
  • Creation of the study concept via the Ambulatory Assessment Platform movisensXS








  • Preparation of the necessary research equipment and the associated materials
  • Configuring and Starting Sensors











  • Install TriggerApp
  • Bluetooth low energy Establish connection between sensor and smartphone and select algorithm (Sedentary)








  • Pair the smartphone with movisensXS and load the created design on the smartphone
  • Instruction and instruction of test persons at the workplace
  • Start study!


  • you can find out more about the study in the next article...



    Study Diary V

    SedentaryMood-Study (Part V)

    The following article is part of a series about the "SedentaryMood-Study".

    Measurement times of the real-time study

    In the last article, the sedentary sedimentary triggered e diaries and the randomly selected queries were described. In the next step, the study plan used for the SedentaryMood-Study is explained. Here, the frequency of the mood polls during the course of a day plays an important role.

    The exact number of queries depends on the individual participant's level of activity and thus, as in this study, up to 12 queries per day can be expected. More mood queries per day over a longer period of time are not to be recommended in order not to overstrain the associated willingness of the test persons to participate and thus not to endanger the data quality.

    On the basis of study results, about three to five days - of which at least one weekend day - are necessary for a representative recording of sedentary behaviour. In view of this, the survey period, the SedentaryMood Study, lasted five days (three working days and two weekend days).

    The sample was recruited from the University of Newcastle (UoN, Australia) and the Karlsruhe Institute of Technology (KIT, Germany). Participation in the study was linked to the following inclusion criteria: official co-worker of the institution, no illness or injury, and the work was performed predominantly in a sedentary body position.

    more about the practical implementation of the study can be found in the next article...

    Study diary IIII

    SedentaryMood Study (Part IIII)

    The following article is part of a series about the "SedentaryMood-Study".

    Sedentary Triggered e-Diaries

    The methodical core of the "SedentaryMood-Study" is the use of Sedentary Triggered e-Diaries. As far as is known, no comparable technical solution has been implemented in any study to date.

    Smartphone mit movisensXS
    Smartphone with movisensXS
    In this case, the application aims to capture psychological parameters precisely during long sitting phases. Sedentary behaviour is recorded, analysed in real time and mood queries are generated when defined thresholds are reached. The threshold for long sedentary behaviour is 30 minutes. The communication between smartphone (e-Diary) and accelerometer takes place via a Bluetooth low energy (BLE) connection.
    In the practical implementation of this study, Sedentary Triggerd e-Diaries as well as random time points in the daily routine were selected. In addition, at the end of a study day, the test persons were encouraged to subjectively indicate the entire duration of the completed day.


    The figure shows a triggered query with movisensXS.


    You can find out more about the SedentaryMood-Study in the next article...

    Sedentary Mood Study – Part 3

    Sedentary Mood Study (Part III)

    The following article is part of a series on the "SedentaryMood Study".

    Preparations to determine the body position

    As part of the "SedentaryMood Study," the Move 3 activity sensor was used for the first time to capture sedentary behavior as a primary target variable. Thus, some preparatory work was necessary in the run-up to the study. These were aimed primarily at the detection of the body position.

    In order to determine the most suitable carrying position for the activity sensor and thus to differentiate between sitting and upright body positions, two video studies were carried out. On the one hand in everyday life with different activities and body positions and on the other hand during office work in everyday working life.

    The evaluations of both measurements show that a carrying position of the activity sensor Move 3 between the sagittal axis and the longitudinal axis, an upright body position is assumed. If the sensor is in a position that exceeds the angular range of < 20° between the sagittal axis and the longitudinal axis, an upright body position is assumed. If the sensor is in a position that exceeds the angular range of > to the sagittal axis, then a seated / lying body position is specified.

    As the measured data of the activity sensor Move 3 analyzed, coupled with the e-Diary movisensXS and triggered with the SensorTrigger you will learn in the next article ...

    Sedentary Mood – Study II

    Study Diary "Sedentary Mood-Study"

    Sedentary Behavior Study

    The following article continues our series on "Sedentary Mood-Studies". Throughout the series we'll take you through a course of sedentary behavior studies, describing the process from planning to results. We'll start with the process of capturing the necessary data to examine the link between sedentary behavior and mood. To do this, we'll detail a particular sedentary behavior study to illustrate the idea.

    Part 2: Recording mood and sedentary behavior data

    When studying sedentary behavior, it's important to select a time frame that provides enough data to analyse. In this case, the researcher chose a five day period in an ambulatory setting to capture data in everyday life. Over this five day period participants received mood assessments several times per day, and had their activity recorded during waking hours.

    To capture the participants mood, it's necessary to use an experience sampling method. For this study, the android based experience sampling app movisensXS displayed the short version of the "Multidimensional Mood Questionnaire (MDMQ)" at random intervals. The MDMQ measures the mood in three dimensions - Valence, Energetic Arousal, and Calmness - and was specifically conceptualized for ambulatory studies (see Wilhelm and Schoebi, 2007, p. 259ff.)

    Whilst there's no technical device that captures sedentary behavior (see Kang and Rowe, 2015, p.113), the activity sensor serves as the de facto research instrument of choice. Given the abundance of fitness trackers on the market, it's often tempting to purchase inexpensive devices in order to obtain more data points. However, for research grade data it's important to use research grade devices. Whilst that may mean fewer devices and fewer participants, the quality of the data more than compensates.

    The Sedentary Behavior Research Network (SBRN, 2017) defines Sedentary Behavior as: "Sedentary behavior is any waking behavior characterized by an energy expenditure ≤1.5 metabolic equivalents (METs), while in a sitting, reclining or lying posture". So in order to obtain an optimal recording, we need to evaluate both body position and energy expenditure.

    In the next part of this series, we'll describe how the guidelines for sedentary behavior were met within this study