Ultrasounds-Based Context Sensing Method and Applications Over the Internet of Things

Zhang

IEEE Internet Things J.

et al. 2019

Recent years have witnessed advances of Internet of Things (IoT) technologies and their applications to enable contactless sensing and elderly care in smart homes. Continuous and real-time respiration monitoring is one of the important applications to promote assistive living for elders during sleep and attracted wide attention in both academia and industry. Most of the existing respiration monitoring systems require expensive and specialized devices to sense chest displacement. However, chest displacement is not a direct indicator of breathing and thus false detection may often occur. In this paper, we design and implement a real-time and contactless respiration monitoring system by directly sensing the exhaled airflow from breathing using ultrasound signals with off-the-shelf speaker and microphone. Exhaled airflow from breathing can be regarded as air turbulence, which scatters the sound wave and results in Doppler effect. Our system works as an acoustic radar which transmits sound wave and detects the Doppler effect caused by breathing airflow. We mathematically model the relationship between the Doppler frequency change and the direction of breathing airflow. Based on this model, we design a Minimum Description Length (MDL) based algorithm to effectively capture the Doppler effect caused by exhaled airflow. We conduct extensive experiments with 25 participants (7 elders, 2 young kids and 16 adults, including 11 females and 14 males) in four different rooms. The participants take four different sleep postures (lying on one's back, on right/left side and on one's stomach) in different positions of the bed. Experiment results show that our system achieves a median error lower than 0.3 breaths/min (2%) for respiration monitoring and can accurately identify Apnea. The results also demonstrate that the system is robust to different respiration styles (shallow, normal and deep), respiration rate variation, ambient noise, sensing distance variation (within 0.7 m) and transmitted signal frequency variation.

Section: B Contactless Methodsmentioning

confidence: 99%

Contactless Respiration Monitoring Using Ultrasound Signal With Off-the-Shelf Audio Devices

Zhang

IEEE Internet Things J.

et al. 2019

“…Moreover, many music scholars have their own opinions and opinions on whether "pop music" can appear in various professional colleges and establish separate disciplines. Since the reform and opening up, with the continuous development of the national economy, national culture, and entertainment living standards, our understanding of popular music has been updated and deepened [3].…”

Section: Introductionmentioning

confidence: 99%

Multimedia Pop Music Teaching Model Integrating Semifinished Teaching Strategies

Dong

2022

Advances in Multimedia

In order to improve the effect of popular music teaching, this paper combines the intelligent music frame feature recognition technology and the semifinished product teaching strategy to construct a multimedia popular music teaching system. Moreover, this paper reexpresses energy detection and zero-crossing detection mathematically from the perspective of aggregation and proposes a new two-level detection method for music frames. In addition, this paper uses the fusion and expansion of the zero-crossing rate detection result to judge whether a piece of speech is a valid musical speech. Finally, this paper uses a four-tier architecture to design the system framework, constructs the system functional modules, builds a multimedia pop music teaching system that incorporates semifinished teaching strategies, and then validates the performance of the system. From the experimental research, it can be seen that the multimedia pop music teaching system integrated with the semifinished product teaching strategy proposed in this paper can play an important role in music teaching and effectively improve the effect of music teaching.

Mobile Information Systems

“…As a higher education institution, how to set up public music courses in universities has become a problem that we urgently need to solve [2]. After investigating and interviewing colleges and universities and searching for books and materials, this paper believes that we should continue to offer multiple types of public music courses on the basis of the original courses in accordance with the training goals and student needs and build a horizontal and vertical curriculum system based on the original curriculum that combines online and offline, in-class, and extra-curricular and promotes ability and interest, so as to improve students' aesthetics and improve their comprehensive quality [3].…”

Section: Introductionmentioning

confidence: 99%

Analysis on the Application of Dependent Information System Optimization Algorithm in Music Education in Colleges and Universities

Mao

2022

Although the influence of pop music is huge and the emergence of pop music talents is also increasing, its education has great problems. Moreover, both theoretical research and professional discipline construction are still very backward. In order to improve the efficiency of music teaching in colleges and universities, this paper applies the information system optimization algorithm to the intelligent analysis of music education in colleges and universities, selects the appropriate method for music information processing, and builds the music education system in colleges and universities on this basis. At the same time, this paper compiles a music system questionnaire for the two main groups (teachers and students) who use the music system to understand the needs of teachers and students for the music system. Then, this paper analyzes the feasibility of the system, constructs an intelligent music education system in colleges and universities, and verifies the effect of the system in combination with experiments. In addition, this paper evaluates the music information processing and educational effect of the system in combination with the actual situation and counts the test results. The test results verify the reliability of the system in this paper.