Assessment of Energy Expended in Physical Activity by a Smartphone-Based System

被引:0
作者
Guede-Fernandez, Federico [1 ]
Carbones, Bernat [1 ]
Capdevila, Lluis [2 ]
Angel Garcia-Gonzalez, Miguel [1 ]
Ramos-Castro, Juan Jose [1 ]
Fernandez-Chimenol, Mireya [1 ]
机构
[1] Univ Politecn Cataluna, Dept Elect Engn, Grp Biomed & Elect Instrumentat, Barcelona, Spain
[2] UAB, Lab Sport Psychol, Bellaterra, Spain
来源
6TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING | 2015年 / 45卷
关键词
smartphone; physical activity; energy expenditure; wearable; healthy lifestyle; EXPENDITURE;
D O I
10.1007/978-3-319-11128-5_222
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The aim of this paper is to present a smartphone based system to assess daily energy expended in physical activity (PA). Nowadays, sedentary lifestyle is increasingly recognized as a serious, worldwide public health concern, because sedentary behaviors are associated to cardiovascular diseases and premature death. A smartphone application has been developed for data gathering from internal motion sensor, wireless wearable heart rate monitor and user filled out forms. The data collected have been sent to a remote server to estimate the total energy expenditure (TEE), which has been determined by the sum of three components: basal energy expenditure (BEE), physical activity (AEE) and thermic effect of food (TEF). In this study, the subjects have used the developed application for seven consecutive days, which represents a typical week. Then, a profile of their daily TEE has been obtained. The presented system is a useful tool to generate personalized recommendations to maintain energy balance through more active lifestyle and healthier eating habits.
引用
收藏
页码:893 / +
页数:2
相关论文
共 50 条
  • [41] Characteristics of smartphone-based dietary assessment tools: a systematic review
    Koenig, Laura M.
    Van Emmenis, Miranda
    Nurmi, Johanna
    Kassavou, Aikaterini
    Sutton, Stephen
    HEALTH PSYCHOLOGY REVIEW, 2022, 16 (04) : 526 - 550
  • [42] Smartphone-Based Methodology Applied to Electromagnetic Field Exposure Assessment
    Lopez-Espi, Pablo-Luis
    Sanchez-Montero, Rocio
    Guillen-Pina, Jorge
    Castro-Sanz, Ruben
    Chocano-del-Cerro, Ricardo
    Martinez-Rojas, Juan-Antonio
    SENSORS, 2024, 24 (11)
  • [43] Smartphone-Based Wellness Assessment Using Mobile Environmental Sensors
    McLeod, Katherine
    Spachos, Petros
    Plataniotis, Konstantinos N.
    IEEE SYSTEMS JOURNAL, 2021, 15 (02): : 1989 - 1999
  • [44] Physical activity classification and assessment using smartphone
    Yared, Rami
    Negassi, Michael Ekubay
    Yang, Lu
    2018 IEEE 9TH ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS AND MOBILE COMMUNICATION CONFERENCE (IEMCON), 2018, : 140 - 144
  • [45] Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years
    Domin, Alex
    Spruijt-Metz, Donna
    Theisen, Daniel
    Ouzzahra, Yacine
    Voegele, Claus
    JMIR MHEALTH AND UHEALTH, 2021, 9 (07):
  • [46] Validation of a Smartphone-Based Approach to In Situ Cognitive Fatigue Assessment
    Price, Edward
    Moore, George
    Galway, Leo
    Linden, Mark
    JMIR MHEALTH AND UHEALTH, 2017, 5 (08):
  • [47] Hours spent and energy expended in physical activity domains: Results from The Tomorrow Projectcohort in Alberta, Canada
    Ilona Csizmadi
    Geraldine Lo Siou
    Christine M Friedenreich
    Neville Owen
    Paula J Robson
    International Journal of Behavioral Nutrition and Physical Activity, 8
  • [48] A Smartphone-Based Real-Time Simple Activity Recognition
    Jongprasithporn, Manutchanok
    Yodpijit, Nantakrit
    Srivilai, Rawiphorn
    Pongsophane, Paweena
    2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2017, : 539 - 542
  • [49] Low-Income, Older African Americans' Engagement in and Perceptions of a Smartphone-Based Ecological Momentary Assessment Study of Physical Activity and Sedentary Behavior
    Kennedy-Malone, Laurie
    Hevel, Derek J.
    Sappenfield, Kourtney B.
    Scheer, Heidi
    Zecca, Christine
    Maher, Jaclyn P.
    INNOVATION IN AGING, 2022, 6 (01)
  • [50] Smartphone-Based Activity Recognition Using Multistream Movelets Combining Accelerometer and Gyroscope Data
    Huang, Emily J.
    Yan, Kebin
    Onnela, Jukka-Pekka
    SENSORS, 2022, 22 (07)