Published on in Vol 6, No 9 (2018): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9781, first published .
The SPLENDID Eating Detection Sensor: Development and Feasibility Study

The SPLENDID Eating Detection Sensor: Development and Feasibility Study

The SPLENDID Eating Detection Sensor: Development and Feasibility Study

Journals

  1. Selamat N, Ali S. Automatic Food Intake Monitoring Based on Chewing Activity: A Survey. IEEE Access 2020;8:48846 View
  2. Liu L, Qiu S, Wang Z, Li J, Wang J. Canoeing Motion Tracking and Analysis via Multi-Sensors Fusion. Sensors 2020;20(7):2110 View
  3. Langlet B, Maramis C, Diou C, Maglaveras N, Fagerberg P, Heimeier R, Lekka I, Delopoulos A, Ioakimidis I. Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study. JMIR mHealth and uHealth 2020;8(7):e14778 View
  4. Bin Morshed M, Kulkarni S, Li R, Saha K, Roper L, Nachman L, Lu H, Mirabella L, Srivastava S, De Choudhury M, de Barbaro K, Ploetz T, Abowd G. A Real-Time Eating Detection System for Capturing Eating Moments and Triggering Ecological Momentary Assessments to Obtain Further Context: System Development and Validation Study. JMIR mHealth and uHealth 2020;8(12):e20625 View
  5. Bahador N, Ferreira D, Tamminen S, Kortelainen J. Deep Learning–Based Multimodal Data Fusion: Case Study in Food Intake Episodes Detection Using Wearable Sensors. JMIR mHealth and uHealth 2021;9(1):e21926 View

Books/Policy Documents

  1. Papapanagiotou V, Diou C, van den Boer J, Mars M, Delopoulos A. Pattern Recognition. ICPR International Workshops and Challenges. View