Speech Recording for Dietary Assessment: A Systematic Literature Review

被引:2
作者
Dodd, Connor T. [1 ]
Adam, Marc T. P. [1 ]
Rollo, Megan E. [2 ]
机构
[1] Univ Newcastle, Coll Engn Sci & Environm, Newcastle, NSW 2308, Australia
[2] Curtin Univ, Fac Hlth Sci, Bentley, WA 6102, Australia
关键词
Speech recognition; Bibliographies; Natural language processing; Systematics; Statistics; Sociology; Speech processing; Automatic speech recognition; dietary assessment; food recording; natural language processing; systematic literature review; NUTRITION; NANA; VALIDATION; BEHAVIOR; ADULTS;
D O I
10.1109/ACCESS.2022.3164419
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Traditional methods of capturing people's dietary intake are complex and labour-intensive, requiring a high level of literacy and time. Speech recording has potential to reduce these barriers, and recent technological advances have greatly increased the viability of this approach. The aim of this paper is to establish the current state of research on the usage of speech records in dietary assessment. To this end, we performed a systematic literature review and summarised the current state of research along a conceptual framework that captures the components involved in using speech records for dietary assessment. Six databases from the nutrition and computing domains were interrogated, resulting in 21 relevant papers. Speech recording in an unstructured format was preferred when compared against other methods by all three studies reporting comparisons. High technological satisfaction and ease of use were noted by all eight studies reporting user acceptance. When recording data, 78% of studies focused on collecting prospective food records. The choice of device reflected this, with 15 of 18 studies reporting a form of handheld, portable collection device intended to be always available. To process data, nine studies performed automated speech transcription achieving an average accuracy of 83%, seven of which utilized a readily available commercial service. Of the five studies that used natural language processing to further automate analysis, an average accuracy of 82% was reported. Further research is required to adapt these prototypes to address practical challenges in dietary assessment and monitoring (e.g. self-monitoring for low-literacy users).
引用
收藏
页码:37658 / 37669
页数:12
相关论文
共 41 条
  • [1] Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017
    Afshin, Ashkan
    Sur, Patrick John
    Fay, Kairsten A.
    Cornaby, Leslie
    Ferrara, Giannina
    Salama, Joseph S.
    Mullany, Erin C.
    Abate, Kalkidan Hassen
    Abbafati, Cristiana
    Abebe, Zegeye
    Afarideh, Mohsen
    Aggarwal, Anju
    Agrawal, Sutapa
    Akinyemiju, Tomi
    Alahdab, Fares
    Bacha, Umar
    Bachman, Victoria F.
    Badali, Hamid
    Badawi, Alaa
    Bensenor, Isabela M.
    Bernabe, Eduardo
    Biryukov, Stan H.
    Biadgilign, Sibhatu Kassa K.
    Cahill, Leah E.
    Carrero, Juan J.
    Cercy, Kelly M.
    Dandona, Lalit
    Dandona, Rakhi
    Anh Kim Dang
    Degefa, Meaza Girma
    Zaki, Maysaa El Sayed
    Esteghamati, Alireza
    Esteghamati, Sadaf
    Fanzo, Jessica
    Farinha, Carla Sofia E. Sa
    Farvid, Maryam S.
    Farzadfar, Farshad
    Feigin, Valery L.
    Fernandes, Joao C.
    Flor, Luisa Sorio
    Foigt, Nataliya A.
    Forouzanfar, Mohammad H.
    Ganji, Morsaleh
    Geleijnse, Johanna M.
    Gillum, Richard F.
    Goulart, Alessandra C.
    Grosso, Giuseppe
    Guessous, Idris
    Hamidi, Samer
    Hankey, Graeme J.
    [J]. LANCET, 2019, 393 (10184) : 1958 - 1972
  • [2] [Anonymous], 2011, Global status report on noncommunicable diseases 2010. 9789241564229
  • [3] Validation of the NANA (Novel Assessment of Nutrition and Ageing) touch screen system for use at home by older adults
    Astell, A. J.
    Hwang, F.
    Brown, L. J. E.
    Timon, C.
    Maclean, L. M.
    Smith, T.
    Adlam, T.
    Khadra, H.
    Williams, E. A.
    [J]. EXPERIMENTAL GERONTOLOGY, 2014, 60 : 100 - 107
  • [4] Babwah F, 2006, REV PANAM SALUD PUBL, V19, P79, DOI 10.1590/S1020-49892006000200002
  • [5] Scaling up Dietary Data for Decision-Making in Low-Income Countries: New Technological Frontiers
    Bell, Winnie
    Colaiezzi, Brooke A.
    Prata, Cathleen S.
    Coates, Jennifer C.
    [J]. ADVANCES IN NUTRITION, 2017, 8 (06) : 916 - 932
  • [6] Natural Language Processing Technologies in Radiology Research and Clinical Applications
    Cai, Tianrun
    Giannopoulos, Andreas A.
    Yu, Sheng
    Kelil, Tatiana
    Ripley, Beth
    Kumamaru, Kanako K.
    Rybicki, Frank J.
    Mitsouras, Dimitrios
    [J]. RADIOGRAPHICS, 2016, 36 (01) : 176 - 191
  • [7] The impact of time pressure on cybersecurity behaviour: a systematic literature review
    Chowdhury, Noman H.
    Adam, Marc T. P.
    Skinner, Geoffrey
    [J]. BEHAVIOUR & INFORMATION TECHNOLOGY, 2019, 38 (12) : 1290 - 1308
  • [8] Activity-based nutrition management model for healthcare using similar group analysis
    Chung, Kyungyong
    Kim, Jonghun
    [J]. TECHNOLOGY AND HEALTH CARE, 2019, 27 (05) : 473 - 485
  • [9] THE ROLE OF VOICE INPUT FOR HUMAN-MACHINE COMMUNICATION
    COHEN, PR
    OVIATT, SL
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 1995, 92 (22) : 9921 - 9927
  • [10] An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability
    Connelly, Kay
    Siek, Katie A.
    Chaudry, Beenish
    Jones, Josette
    Astroth, Kim
    Welch, Janet L.
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2012, 19 (05) : 705 - 712