@article{KanningEbnerPriemerBrand2012,
  author    = {Kanning, Martina and Ebner-Priemer, Ulrich and Brand, Ralf},
  title     = {Autonomous Regulation Mode Moderates the Effect of Actual Physical Activity on Affective States: An Ambulant Assessment Approach to the Role of Self-Determination},
  series = {JOURNAL OF SPORT \& EXERCISE PSYCHOLOGY},
  volume    = {34},
  journal   = {JOURNAL OF SPORT \& EXERCISE PSYCHOLOGY},
  number    = {2},
  publisher = {HUMAN KINETICS PUBL INC},
  address   = {CHAMPAIGN},
  issn      = {0895-2779},
  pages     = {260 -- 269},
  year      = {2012},
  abstract  = {Studies have shown that physical activity influences affective states. However, studies have seldom depicted these associations in ongoing real-life situations, and there is no investigation showing that motivational states (i.e., more or less autonomously regulated) would moderate these effects in situ. To investigate the interaction of autonomous regulation and actual physical activity (aPA) with affective states, we use an ambulatory assessment approach. The participants were 44 university students (mean age: 26.2 +/- 3.2 years). We assessed aPA through 24-hr accelerometry and affective states and autonomous regulation via electronic diaries. Palmtop devices prompted subjects every 45 min during a 14-hr daytime period. We performed hierarchical multilevel analyses. Both aPA and autonomous regulation significantly influenced affective states. The interaction was significant for two affects. The higher the volume of aPA and thereby the more autonomously regulated the preceding bout of aPA was, the more our participants felt energized (r = .16) but agitated (r = -.18).},
  language  = {en}
}
@article{ChromikKirstenHerdicketal.2022,
  author    = {Chromik, Jonas and Kirsten, Kristina and Herdick, Arne and Kappattanavar, Arpita Mallikarjuna and Arnrich, Bert},
  title     = {SensorHub},
  series = {Sensors},
  volume    = {22},
  journal   = {Sensors},
  number    = {1},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {1424-8220},
  doi       = {10.3390/s22010408},
  pages     = {18},
  year      = {2022},
  abstract  = {Observational studies are an important tool for determining whether the findings from controlled experiments can be transferred into scenarios that are closer to subjects' real-life circumstances. A rigorous approach to observational studies involves collecting data from different sensors to comprehensively capture the situation of the subject. However, this leads to technical difficulties especially if the sensors are from different manufacturers, as multiple data collection tools have to run simultaneously. We present SensorHub, a system that can collect data from various wearable devices from different manufacturers, such as inertial measurement units, portable electrocardiographs, portable electroencephalographs, portable photoplethysmographs, and sensors for electrodermal activity. Additionally, our tool offers the possibility to include ecological momentary assessments (EMAs) in studies. Hence, SensorHub enables multimodal sensor data collection under real-world conditions and allows direct user feedback to be collected through questionnaires, enabling studies at home. In a first study with 11 participants, we successfully used SensorHub to record multiple signals with different devices and collected additional information with the help of EMAs. In addition, we evaluated SensorHub's technical capabilities in several trials with up to 21 participants recording simultaneously using multiple sensors with sampling frequencies as high as 1000 Hz. We could show that although there is a theoretical limitation to the transmissible data rate, in practice this limitation is not an issue and data loss is rare. We conclude that with modern communication protocols and with the increasingly powerful smartphones and wearables, a system like our SensorHub establishes an interoperability framework to adequately combine consumer-grade sensing hardware which enables observational studies in real life.},
  language  = {en}
}