Activity Sensor
The best tool for measuring physical activity in everyday life!
Move 4 - Activity Sensor
It has never been so easy to capture movement data quickly and precisely in everyday life!
The Move 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 Move 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.
Benefit from our many years of experience in the field of ambulatory assessment and let us put together the right analysis solution for you
Our Move 4 is used in the following areas
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
Sleep Monitoring
- Sleep Detection
- Subjective sleep analysis
Recommendations for Sleep Monitoring
Interactive Ambulatory Assessment
- Investigating phases of physical activity and inactivity
- Combining different sensor parameters
- Trigger algorithms
Recommendations for IAA
Blog - SedentaryMood-Study
What influence does Sedentary Behavior have on mood?
The implementation of the study, the course of the study, the measurement methods as well as the measurement recommendations and findings will be presented and described here at regular intervals. The individual articles in the study diary are intended to build on each other to describe the overall course of the study.Read more in our Sedentary Mood study articles
Look and Feel - Sensor triggered interactive ambulatory assessment
Matching products and services
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 Move 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 |
25 g |
|
Protection rate |
Waterproof (IP64) |
|
Internal sensors |
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 |
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 |
Hip, Chest, Wrist, Upper Arm, Ankle, Thigh |
|
Wearing systems |
Wrist Band, Belt Adapter and Belt |
|
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
- Influence of motivational interviewing on postoperative mobilization in the enhanced recovery after surgery (ERAS®) pathway in elective colorectal surgery - a randomized patient-blinded pilot study.
- Impact of a Semi-Rigid Knee Orthotic Intervention on Pain, Physical Activity, and Functional Capacity in Patients with Medial Knee Osteoarthritis.
- Psychomotor Slowing in Psychosis and Inhibitory Repetitive Transcranial Magnetic Stimulation.
- Exploring the Link between Lifestyle, Inflammation, and Insulin Resistance through an Improved Healthy Living Index.
- Development of a Machine Learning Model to Detect Freezing of Gait in Parkinson Patients.
- Determination of cut-off points for the Move4 accelerometer in children aged 8–13 years.
- Momentary within-subject associations of affective states and physical behavior are moderated by weather conditions in real life: an ambulatory assessment study.
- Microtemporal Dynamics of Dietary Intake, Physical Activity, and Impulsivity in Adult Attention-Deficit/Hyperactivity Disorder: Ecological Momentary Assessment Study Within Nutritional Psychiatry.
- Ecological Momentary Assessment in Nutritional Psychiatry: Microtemporal Dynamics of Dietary Intake, Physical Activity, and Impulsivity in Adult ADHD.
- Momentary associations between sedentary bouts, cognitive load and mood in daily life: An ambulatory assessment study.
- The Work Lifestyle-integrated Functional Exercise Program for Preventing Functional Decline in Employees over 55 years: Development and Initial Evaluation.
- Multicentre, interventional, single-arm study protocol of telemonitored circadian rhythms and patient-reported outcomes for improving mFOLFIRINOX safety in patients with pancreatic cancer.
- Microstructural white matter biomarkers of symptom severity and therapy outcome in catatonia: Rationale, study design and preliminary clinical data of the whiteCAT study.
- Combined physical activity training versus aerobic activity training in unipolar depressive disorder: a quasi-randomised evaluation study.
- At Crossroads in a Virtual City: Effect of Spatial Disorientation on Gait Variability and Psychophysiological Response among Healthy Older Adults.
- The 8th International Conference on Ambulatory Monitoring of Physical Activity and Movement: Active and Sitting Time Precursors to Mood in Young Adults.
- Effects of strength exercise interventions on activities of daily living, motor performance, and physical activity in children and adolescents with leukemia or non-Hodgkin lymphoma: Results from the randomized controlled ActiveADL Study.
- Effectiveness of an evidence-based care pathway to improve mobility and participation in older patients with vertigo and balance disorders in primary care (MobilE-PHY2): Study protocol for a multicentre cluster-randomised controlled trial.
- The Behavioral Mapping of Psychomotor Slowing in Psychosis Demonstrates Heterogeneity Among Patients Suggesting Distinct Pathobiology.
- Measuring catatonia motor behavior with objective instrumentation.
- Mood-enhancing Physical Activity in Individuals with Attention-Deficit/Hyperactivity Disorder (ADHD) and Healthy Youths – Daily Life Investigations by Ambulatory Assessment.
- A temporal classification method based on behavior time series data in patients with behavioral variant of frontotemporal dementia and apathy.
- The association of stress and physical activity: Mind the ecological fallacy.
- Influence of Sit-Stand Tables in Classrooms on Children’s Sedentary Behavior and Teacher’s Acceptance and Feasibility: A Mixed-Methods Study.
- Sleep quality, valence, energetic arousal, and calmness as predictors of device-based measured physical activity during a three-week mHealth intervention.
- Equivalency of four research-grade movement sensors to assess movement behaviors and its implications for population surveillance.
- Analysis of self-reported activities of daily living, motor performance and physical activity among children and adolescents with cancer: Baseline data from a randomised controlled trial assessed shortly after diagnosis of leukaemia or non-Hodgkin lymphoma.
- Functional connectivity correlates of reduced goal-directed behaviorsin behavioural variant frontotemporal dementia.
- 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).
- Accuracy of Sedentary Behavior–Triggered Ecological Momentary Assessment for Collecting Contextual Information: Development and Feasibility Study.
- Mood and dysfunctional cognitions constitute within - subject antecedents and consequences of exercise in eating disorders.
- OREBA: A Dataset for Objectively Recognizing Eating Behaviour and Associated Intake.
- 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.
- Fear of Physical Activity, Anxiety, and Depression. Barriers to Physical Activity in Outpatients With Heart Failure?.
- The Freiburg sport therapy program for eating disorders: a randomized controlled trial.
- A neural mechanism for affective well-being: Subgenual
cingulate cortex mediates real-life effects
of nonexercise activity on energy. - Development of a classification system for assessing apathy’s degree in patients with behavioral variant of frontotemporal dementia.
- Validating Accelerometers for the Assessment of Body Position and Sedentary Behavior.
- Breaking Up Sedentary Behavior Optimally to Enhance Mood.
- Real-Time Detection of Spatial Disorientation in Persons with Mild Cognitive Impairment and Dementia.
- Dynamics of Intraindividual Variability in Everyday Life Affect Across
Adulthood and Old Age. - Embodied learning in the classroom: Effects on primary school children's attention and foreign language vocabulary learning.
- Neural correlates of individual differences in affective benefit of real-life urban green space exposure.
- Using Acceleration Data for Detecting Temporary Cognitive Overload in Health Care Exemplified Shown in a Pill Sorting Task.
- Sedentary behavior in everyday life relates negatively to mood: An ambulatory Assessment study.
- Promotion of physical activity-related health competence in physical education: study protocol for the GEKOS cluster randomized controlled trial.
- Energy Expenditure During Incline Walking – Benefits of Integrating a Barometer into Activity Monitors.
- Individual Differences in the Competence for Physical-Activity-Related Affect Regulation Moderate the Activity–Affect Association in Real-Life Situations.
- Intermittent Fasting (Alternate Day Fasting) in Healthy, Non-obese Adults: Protocol for a Cohort Trial with an Embedded Randomized Controlled Pilot Trial.
- 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.
- A novel algorithm for detecting human circadian rhythms using a thoracic temperature sensor Article history :.
- Physical Activity and Depressive Mood in the Daily Life of Older Adults.
- Measuring Fear of Physical Activity in Patients with Heart Failure.
- Lightweight Visual Data Analysis on Mobile Devices - Providing Self-Monitoring Feedback.
- Contributions à l’élaboration d’un système d’aide médico-sociale à l’aide d’un robot humanoïde.
- Situationsadaptive Navigationsassistenz für Menschen mit Demenz.
- Real-Time Management of Multimodal Streaming Data for Monitoring of Epileptic Patients.
- Bewegungsangst bei chronischer Herzinsuffizienz – Erste Ergebnisse zur Validierung eines Messinstruments.
- Fitness, kognitive Leistungsfähigkeit und Wohlbefinden bei jungen Erwachsenen - Interventionsstudien zum Einfluss von Ausdauertraining.
- Validation and comparison of two methods to assess human energy expenditure during free-living activities.
- Erfassung körperlicher Aktivität mittels Akzelerometrie - Möglichkeiten und Grenzen aus technischer Sicht.
- Home-based system for physical activity monitoring in patients with multiple sclerosis (Pilot study).
- Detection of Parameters to Quantify Neurobehavioral Alteration in Multiple Sclerosis Based on Daily Life Physical Activity and Gait Using Ambulatory Assessment.
- Using Support Vector Regression for Assessing Human Energy Expenditure Using a Triaxial Accelerometer and a Barometer.
- A Comparison of Two Commercial Activity Monitors for Measuring Step Counts During Different Everyday Life Walking Activities.
- The Association between Short Periods of Everyday Life Activities and Affective States: A Replication Study Using Ambulatory Assessment.
- Characteristics of the activity-affect association in inactive people: an ambulatory assessment study in daily life.
- Acute and medium term effects of a 10-week running intervention on mood state in apprentices.
- Measurement of daily mobility under fampridine-therapy with Movisens-system in patients with multiple sclerosis.
- Kindergarten in Bewegung. Zur Qualität von Bewegungskindergärten.
- Assessment der Mobilität im Alltag zur Unterstützung von MS-Patienten.
- Assessment of Human Gait Speed and Energy Expenditure Using a Single Triaxial Accelerometer.
- Aktuelle Messverfahren zur objektiven Erfassung körperlicher Aktivitäten unter besonderer Berücksichtigung der Schrittzahlmessung.
- A new method to estimate energy expenditure using accelerometry and barometry-based energy models.
- Validity of the kmsMove-sensor in calculating energy expenditure during different walking intensities.
- Estimation of energy expenditure using accelerometers and activity-based energy models - validation of a new device.
- Trends und Möglichkeiten zur Erfassung körperlicher Aktivität im Alltag.
- Bewegungskindergärten: empirische Befunde und praktisches Wissen.
- Energieumsatzmessung mit Aktivitätssensoren – Validität des kmsMove-Akzelerometers.
- Einsatz sensorgestützter Verfahren im Gesundheitswesen: Herausforderungen und Lösungsansätze.
All publications can be find here.