141 related articles for article (PubMed ID: 31212891)
21. Motion-to-BMI: Using Motion Sensors to Predict the Body Mass Index of Smartphone Users.
Yao Y; Song L; Ye J
Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32093013
[TBL] [Abstract][Full Text] [Related]
22. Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements.
McLeod A; Bochniewicz EM; Lum PS; Holley RJ; Emmer G; Dromerick AW
Arch Phys Med Rehabil; 2016 Feb; 97(2):224-31. PubMed ID: 26435302
[TBL] [Abstract][Full Text] [Related]
23. Moving system with action sport cameras: 3D kinematics of the walking and running in a large volume.
Bernardina GRD; Monnet T; Cerveri P; Silvatti AP
PLoS One; 2019; 14(11):e0224182. PubMed ID: 31714919
[TBL] [Abstract][Full Text] [Related]
24. Sensor Fusion for Recognition of Activities of Daily Living.
Wu J; Feng Y; Sun P
Sensors (Basel); 2018 Nov; 18(11):. PubMed ID: 30463199
[TBL] [Abstract][Full Text] [Related]
25. Validity of the "Samsung Health" application to measure steps: A study with two different samsung smartphones.
Beltrán-Carrillo VJ; Jiménez-Loaisa A; Alarcón-López M; Elvira JLL
J Sports Sci; 2019 Apr; 37(7):788-794. PubMed ID: 30332917
[TBL] [Abstract][Full Text] [Related]
26. Identifying typical physical activity on smartphone with varying positions and orientations.
Miao F; He Y; Liu J; Li Y; Ayoola I
Biomed Eng Online; 2015 Apr; 14():32. PubMed ID: 25889811
[TBL] [Abstract][Full Text] [Related]
27. An Activity-Aware Sampling Scheme for Mobile Phones in Activity Recognition.
Chen Z; Chen J; Huang X
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32294935
[TBL] [Abstract][Full Text] [Related]
28. The effectiveness of simple heuristic features in sensor orientation and placement problems in human activity recognition using a single smartphone accelerometer.
Barua A; Jiang X; Fuller D
Biomed Eng Online; 2024 Feb; 23(1):21. PubMed ID: 38368358
[TBL] [Abstract][Full Text] [Related]
29. Coarse-Fine Convolutional Deep-Learning Strategy for Human Activity Recognition.
Avilés-Cruz C; Ferreyra-Ramírez A; Zúñiga-López A; Villegas-Cortéz J
Sensors (Basel); 2019 Mar; 19(7):. PubMed ID: 30935117
[TBL] [Abstract][Full Text] [Related]
30. Lower body kinematics estimation from wearable sensors for walking and running: A deep learning approach.
Hernandez V; Dadkhah D; Babakeshizadeh V; Kulić D
Gait Posture; 2021 Jan; 83():185-193. PubMed ID: 33161275
[TBL] [Abstract][Full Text] [Related]
31. Quantifying multi-dimensional attributes of human activities at various geographic scales based on smartphone tracking.
Zhou X; Li D
Int J Health Geogr; 2018 May; 17(1):11. PubMed ID: 29743069
[TBL] [Abstract][Full Text] [Related]
32. Validity and Reliability of Smartphone Applications for the Assessment of Walking and Running in Normal-weight and Overweight/Obese Young Adults.
Konharn K; Eungpinichpong W; Promdee K; Sangpara P; Nongharnpitak S; Malila W; Karawa J
J Phys Act Health; 2016 Dec; 13(12):1333-1340. PubMed ID: 27633618
[TBL] [Abstract][Full Text] [Related]
33. Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System.
Alo UR; Nweke HF; Teh YW; Murtaza G
Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33167424
[TBL] [Abstract][Full Text] [Related]
34. A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory.
Bragança H; Colonna JG; Lima WS; Souto E
Sensors (Basel); 2020 Mar; 20(7):. PubMed ID: 32230830
[TBL] [Abstract][Full Text] [Related]
35. A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors.
Garcia-Gonzalez D; Rivero D; Fernandez-Blanco E; Luaces MR
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32295028
[TBL] [Abstract][Full Text] [Related]
36. Complex Human Activity Recognition Using Smartphone and Wrist-Worn Motion Sensors.
Shoaib M; Bosch S; Incel OD; Scholten H; Havinga PJ
Sensors (Basel); 2016 Mar; 16(4):426. PubMed ID: 27023543
[TBL] [Abstract][Full Text] [Related]
37. Validation of smartphone step count algorithm used in STARFISH smartphone application.
Dybus A; Paul L; Wyke S; Brewster S; Gill JMR; Ramsay A; Campbell E
Technol Health Care; 2017 Dec; 25(6):1157-1162. PubMed ID: 28946599
[TBL] [Abstract][Full Text] [Related]
38. Transportation Mode Detection Using Temporal Convolutional Networks Based on Sensors Integrated into Smartphones.
Wang P; Jiang Y
Sensors (Basel); 2022 Sep; 22(17):. PubMed ID: 36081169
[TBL] [Abstract][Full Text] [Related]
39. Validity of Consumer Activity Monitors and an Algorithm Using Smartphone Data for Measuring Steps during Different Activity Types.
Hartung V; Sarshar M; Karle V; Shammas L; Rashid A; Roullier P; Eilers C; Mäurer M; Flachenecker P; Pfeifer K; Tallner A
Int J Environ Res Public Health; 2020 Dec; 17(24):. PubMed ID: 33322833
[No Abstract] [Full Text] [Related]
40. Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data.
Chowdhury AK; Tjondronegoro D; Chandran V; Zhang J; Trost SG
Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31627335
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]