Results 131 to 140 of about 129,382 (270)

Whole-Body 3D Pose Estimation Based on Body Mass Distribution and Center of Gravity Constraints

Sensors
Estimating the 3D pose of a human body from monocular images is crucial for computer vision applications, but the technique remains challenging due to depth ambiguity and self-occlusion.
Fan Wei, Guanghua Xu, Qingqiang Wu, Penglin Qin, Leijun Pan, Yihua Zhao   +5 more
doaj   +1 more source

Electrosynthesis of Bioactive Chemicals, From Ions to Pharmaceuticals

Advanced Functional Materials, EarlyView.
This review discusses recent advances in electrosynthesis for biomedical and pharmaceutical applications. It covers key electrochemical materials enabling precise delivery of ions and small molecules for cellular modulation and disease treatment, alongside catalytic systems for pharmaceutical synthesis.
Gwangbin Lee, Sojin Kim, Myeongeun Lee, Kyoungsuk Jin, Jimin Park   +4 more
wiley   +1 more source

MSTFormer: multi-granularity spatial-temporal transformers for 3D human pose estimation

Journal of King Saud University: Computer and Information Sciences
The 2D-to-3D lifting approach based on multi-granularity methods effectively captures spatial-temporal features at various scales. Existing multi-granularity methods primarily focus on extracting joint features through graph-based approaches, which ...
Hao Lin, Sheng Xu, Chengyue Su
doaj   +1 more source

Three-Dimensional Posture Estimation of Vehicle Occupants Using Depth and Infrared Images

Sensors
Pose estimation is crucial for ensuring passenger safety and better user experiences in semi- and fully autonomous vehicles. Traditional methods relying on pose estimation from regular color images face significant challenges due to a lack of three ...
Anuj Tambwekar, Byoung-Keon D. Park, Arpan Kusari, Wenbo Sun   +3 more
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

3D Baseball Pitcher Pose Reconstruction Using Joint-Wise Volumetric Triangulation and Baseball Customized Filter System

IEEE Access
3D human pose estimation (HPE) has become increasingly important in baseball analytic, but there are several difficulties pertaining to pose estimation in real-world baseball pitching.
Yun-Wei Chiu, Kuei-Ting Huang, Yuh-Renn Wu, Jyh-How Huang, Wei-Li Hsu, Pei-Yuan Wu   +5 more
doaj   +1 more source

Skeleton-Based Spatio-Temporal U-Network for 3D Human Pose Estimation in Video. [PDF]

Sensors (Basel), 2022
Li W, Du R, Chen S.
europepmc   +1 more source

Trap‐Modified Inverted Organic Photodetectors via Layer‐by‐Layer Processing with Poly(N‐vinylcarbazole) Additives

Advanced Functional Materials, EarlyView.
Trap state engineering in inverted organic photodetectors (OPDs) is achieved via combined layer‐by‐layer (LbL) processing and poly(N‐vinylcarbazole) (PVK) incorporation. LbL reduces the trap density while PVK additives gradually shift trap states from shallow band‐edge to deep mid‐gap levels, tailoring the energy distribution.
Jingwei Yi, Yi Yang, Yusen Pei, Apurva Gadikar, Vahid Mahdikhah, Myratgeldi Kotyrov, Seung Hyun Kim, Kenan Gundogdu, Wei You, Harald Ade, Franky So   +10 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Fusion Poser: 3D Human Pose Estimation Using Sparse IMUs and Head Trackers in Real Time. [PDF]

Sensors (Basel), 2022
Kim M, Lee S.
europepmc   +1 more source