Results 291 to 300 of about 229,107 (335)

Artificial intelligence tools to assess different levels of activity performed by semi-wild horses in grassland ecosystems. [PDF]

Environ Monit Assess
Chodkiewicz A, Prończuk M, Studnicki M.
europepmc   +1 more source

An Analytical Model of Motion Artifacts in a Measured Arterial Pulse Signal-Part II: Tactile Sensors. [PDF]

Sensors (Basel)
Rahman MM, Toraskar S, Hasan M, Hao Z.
europepmc   +1 more source

A nonlinear stiffness softening mechanism for low-bias, high-sensitivity MEMS accelerometers with extended dynamic range. [PDF]

Microsyst Nanoeng
Firoozy P, Seifnejad Haghighi M, Kanygin M, Ferguson P, Bahreyni B.   +4 more
europepmc   +1 more source

Wearable interactive full-body motion tracking and haptic feedback network systems with deep learning. [PDF]

Nat Commun
Park SU, Lee HK, Kim HB, Kim D, Kim W, Joo J, Kim B, Lee BW, Jung YH, Park S, Chun IY, Jeong H, Kang J, Yoo JY, Won SM.   +14 more
europepmc   +1 more source

Using GPS and accelerometer data to precisely record egg laying, incubation and chick hatching of Cinereous Vultures (<i>Aegypiusmonachus</i>) in-situ. [PDF]

Biodivers Data J
Cotorogea C, Stoynov E, Grozdanov A, Marin S, Peshev HV, Ivanov I, Stoyanov GP.   +6 more
europepmc   +1 more source

Evaluation of a Hopkinson bar fly-away technique for high amplitude shock accelerometer calibration

, 1997
T. C. Togami, V.I. Bateman, F.A. Brown
openalex   +1 more source

Strain transducers for active control - lumped parameter model

, 2006
Aoki, Y., Elliott, S.J., Gardonio, P.
core  

Measuring Psychological Well-Being and Behaviors Using Smartphone-Based Digital Phenotyping: An Intensive Longitudinal Observational mHealth Pilot Study Embedded in a Prospective Cohort of Women.

JMIR Mhealth Uhealth
Yi L, Trudel-Fitzgerald C, Hu CR, Wilt G, Chavarro J, Onnela JP, Grodstein F, Kubzansky LD, James P.   +8 more
europepmc   +1 more source