The article „Assessing physical behavior through accelerometry – State of the science, best practices and future directions“ (Buchartz et al., 2020) provides an up-to-date overview of the possibilities of accelerometry and makes recommendations for its use.
Modern accelerometers provide researchers with the ability to collect objective data regarding the intensity and duration of physical activity over a period ranging from several days to several weeks and months.
If your research revolves around physical activity, we’ll show you how our activity sensors accurately record physical activity in everyday life.
Move 4 und LightMove 4 - Perfect tools for capturing physical activity
The activity sensor Move 4 from movisens allows a continuous, objective recording of physical activity for up to 4 weeks.
From the measurement parameters (3-axis acceleration, rotation rate and barometric pressure) we can calculate a multitude of categories and output parameters such as Physical Activity (PA), Sedentary Behaviour, Sleep, Energy Expenditure and Physical Activity Metrics.
The integrated pressure sensor improves both activity classification and the accuracy of energy expenditure estimation. For example, we can distinguish between normal walking and stair climbing.
A further advantage presented by the LightMove 4 model is an integrated light sensor. The data recorded by the light sensor allows the detection of the type of ambient light and also helps detect the intention to sleep.
All Output Parameters at a glance
Category |
Output parameter |
Live Analysis |
MAI (MovementAcceleration Intensity) BFEN (Band-pass Filtered Euclidean Norm) HFEN (High-pass Filtered Euclidean Norm) EN (Euclidian Norm) ENMO (Euclidian Norm Minus One) HFENP (High-pass Filtered Euclidean Norm plus) EEAC (EeacMean) MAD (Mean Amplitude Deviation) ZC (Zero Crossing) PIM (Proportional Integrating Measure) AWC (ActiWatch4Counts) |
yes no no no no no no no no no no no no |
|
Activity Level Activity Class Energy Expenditure MET Steps Body Position |
yes yes no yes yes yes |
|
Sedentary |
yes |
|
Sleep/Wake |
no |
|
Worn/Not Worn |
no |
The movisens team provides development expertise for researcher specific questions. We’re always happy to discuss your research project and see if we can tailor a solution for you.
Given repeated requests, we’ve integrated an IR Temperature sensor in our activity sensor Move 4 and our ECG and activity sensor EcgMove 4. This researcher specific customisation allows a continuous recording of the participant’s skin temperature.
Further Measurement Parameters
- Internal Temperature Sensor -> Body Temperature
- IR-Temperature-Sensor -> Skin Temperature
- Ambient Ligth Sensor -> Light Intensity (red, green, blue, clear, IR)
- ECG-Amplifier -> ECG (1 Channel, 16 bit, 1024 Hz)
- EDA-Amplifier -> Skin Conductance, Elektrodermale Activity, SNS activation
Other Sensors/ Recording Options