{"title":"Human pulse wave detection with consumer earphones and headphones","authors":"Xing Yi, Samith S. Herath, Hiroshi Ogawa, Hiroki Kuroda, Kosuke Oiwa, Shusaku Nomura","doi":"10.1007/s10015-023-00933-4","DOIUrl":"10.1007/s10015-023-00933-4","url":null,"abstract":"<div><p>Dynamic earphones/headphones and microphones can detect sounds below the human audible frequency. Based on this principle, we propose a new method of human pulse measurement using consumer earphones and headphones. It is a simple signal separation-based method utilizing pressure changes inside the ear canal and around the tragus caused by heartbeats. As a result of feasibility evaluation using an electrocardiogram, the pulses derived by the earphone/headphone were highly feasible in terms of accurate peak-to-peak determination. Furthermore, we estimated the frequency characteristics of the audio devices at the frequency of interest, the center frequency of the heart rate (around 1.4 Hz), which enables us to reproduce the original, non-distorted pulse waveform. Although this is an entirely different methodology from photoplethysmography, it is promising because heart rate can be measured while listening to music.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139439471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Akihisa Ishida, Isuke Okuma, Katsuyuki Morishita, Ken Saito
{"title":"Development of quadruped robot system mounting integrated circuits of pulse-type hardware neuron models for gait generation","authors":"Akihisa Ishida, Isuke Okuma, Katsuyuki Morishita, Ken Saito","doi":"10.1007/s10015-023-00930-7","DOIUrl":"10.1007/s10015-023-00930-7","url":null,"abstract":"<div><p>The authors have been studying robots equipped with pulse-type hardware neuron models (P-HNMs) that mimic biological neurons. In a previous study, we developed a quadruped robot system mounting P-HNMs. The authors confirmed the generation of animal-like gait that transitions gait in response to the speed of movement. However, significant circuit variations occurred between the circuit boards of the P-HNMs because the discrete elements had been soldered to the circuit board by hand. Therefore, the circuit characteristics have to adjust using variable resistance for each experiment. In this paper, the authors developed an integrated circuit of P-HNMs to reduce the circuit variation. Also, we mounted the integrated circuits of P-HNMs on a quadruped robot system. As a result, we confirmed that an integrated circuit of P-HNMs does not require any adjustments to actuate the robot system. Also, the author established that the proposed quadruped robot system generates a gait like the “Walk” and the “Trot” of quadruped animals through the walking experiments. The generated gaits are three to seven times longer than the previous robot system.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139439404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Smart house system for safety of elderly living alone based on camera and PIR sensor","authors":"Yichen Wang, Yutian Wu, Shuwei Zhang, Harutoshi Ogai, Katsumi Hirai, Shigeyuki Tateno","doi":"10.1007/s10015-023-00932-5","DOIUrl":"10.1007/s10015-023-00932-5","url":null,"abstract":"<div><p>With the improvement of human life quality, life expectancy generally increases. As a result, more and more elderly people living alone appear. Recently, the safety problems of the elderly living alone have attracted more and more attention from the public. Due to living alone, the elderly cannot be found at the first time when an accident occurs indoors or out, and the rescue time is delayed. This article proposes a way to use the speed up module to realize real-time face detection on the Raspberry Pi and optimize the processing of PIR sensor signals and write a logic system based on the camera and PIR signals to record and analyze the life of the elderly living alone and warning system to their family members.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10015-023-00932-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139442000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collective behaviors emerging from chases and escapes","authors":"Toru Ohira","doi":"10.1007/s10015-023-00928-1","DOIUrl":"10.1007/s10015-023-00928-1","url":null,"abstract":"<div><p>“Chases and Escapes” is a classical mathematical problem. Recently, we proposed a simple extension, called “Group Chase and Escape,” where one group chases another. This extension bridges the traditional problem with the current interest in studying collective motion among animals, insects, and cars. In this presentation, I will introduce our fundamental model and explore its intricate emergent behaviors. In our model, each chaser approaches the nearest escapee, while each escapee moves away from its closest chaser. Interestingly, despite the absence of communication within each group, we observe the formation of aggregate patterns. Furthermore, the effectiveness of capture varies as we adjust the ratio of chasers to escapees, which can be attributed to a group effect. I will delve into how these behaviors manifest in relation to various parameters, such as densities. Moreover, we have explored different expansions of this basic model. First, we introduced fluctuations, where players now make errors in their step directions with a certain probability. We found that a moderate level of fluctuations improves the efficiency of catching. Second, we incorporated a delay in the chasers’ reactions to catch their targets. This distance-dependent reaction delay can lead to highly complex behaviors. Additionally, I will provide an overview of other groups’ extensions of the model and the latest developments in this field.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139447291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence in pathological anatomy: digitization of the calculation of the proliferation index (Ki-67) in breast carcinoma","authors":"Elmehdi Aniq, Mohamed Chakraoui, Naoual Mouhni","doi":"10.1007/s10015-023-00923-6","DOIUrl":"10.1007/s10015-023-00923-6","url":null,"abstract":"<div><p>Ki-67 is a non-histone nuclear protein located in the nuclear cortex and is one of the essential biomarkers used to provide the proliferative status of cancer cells. Because of the variability in color, morphology and intensity of the cell nuclei, Ki-67 is sensitive to chemotherapy and radiation therapy. The proliferation index is usually calculated visually by professional pathologists who assess the total percentage of positive (labeled) cells. This semi-quantitative counting can be the source of some inter- and intra-observer variability and is time-consuming. These factors open up a new field of scientific and technological research and development. Artificial intelligence is attracting attention to solve these problems. Our solution is based on deep learning to calculate the percentage of cells labeled by the ki-67 protein. The tumor area with <span>(times)</span>40 magnification is given by the pathologist to segment different types of positive, negative or TIL (tumor infiltrating lymphocytes) cells. The calculation of the percentage comes after cells counting using classical image processing techniques. To give the model our satisfaction, we made a comparison with other datasets of the test and we compared it with the diagnosis of pathologists. Despite the error of our model, KiNet outperforms the best performing models to date in terms of average error measurement.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraction of actuator forces and displacements involved in human walking and running and estimation of time-series neural signals by inverse dynamics simulation","authors":"Motokuni Ishibashi, Kenji Takeda, Kentaro Yamazaki, Takumi Ishihama, Tatsumi Goto, Shuxin Lyu, Minami Kaneko, Fumio Uchikoba","doi":"10.1007/s10015-023-00921-8","DOIUrl":"10.1007/s10015-023-00921-8","url":null,"abstract":"<div><p>While conventional biped robots are arithmetically controlled by CPU and driven by servo motors, humans locomote by contraction of muscles that receive electrical signals from the spinal cord. For real-time control without numerical calculations, we proposed a method that analog electronic circuits mimic neural circuits and output electrical signals. Gait control of a musculoskeletal robot requires this circuit and muscle-mimicking actuators. In this paper, we extracted the muscle displacements and generated forces involved in human walking and running with inverse dynamic simulation. The generated force and electromyogram were compared, and the main moving muscles were selected. The neural signals input to the muscles were derived by dividing the displacement graph into 6 sections and classifying the muscle groups by focusing on the maximum contraction. Also, we compared the generated forces, displacements, and the neural signals with physiological findings and discussed the similarity between the living body and the musculoskeletal model.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139383292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Light-weight color image conversion like pencil drawing for high-level synthesized hardware","authors":"Honoka Tani, Akira Yamawaki","doi":"10.1007/s10015-023-00927-2","DOIUrl":"10.1007/s10015-023-00927-2","url":null,"abstract":"<div><p>We are developing pencil-drawing-style image conversion software suitable for high-level synthesis, HLS, technology that automatically converts software into hardware. The pencil-drawing-style image conversion consists of the former and latter processes. The former generates the images expressing edge strengths and their directions. The latter process convolves the line segment corresponding to the edge strength with its direction. As hardware-oriented software description, the medium data across the former and latter processes are optimized. In addition, the former and latter processes are overlapped between the FIFO buffer passing the medium data. The obtained image is still a gray-scaled image. To make it support the color image, this paper inserts a process compositing the original color image with the grayed pencil-drawing-style image to not intervene in the pipelined data path behavior. As a result, an HLS tool used is expected to generate a hardware module with the ideal pipelined data path by one output data/one clock. The experimental results show that the colorization hardware had no significant performance degradation issues for circuit size, run time, or power efficiency compared to the pencil drawing hardware with grayscale. Compared with the software execution, our hardware supporting color image can achieve 4.2 times the performance improvement and 130 times power efficiency.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138945048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Robots traveling on muddy terrain for sampling bottom sediment in tidal flats","authors":"Masatoshi Hatano, Manami Senzaki, Hidetoshi Kawasaki, Chiaki Takasu, Masaki Yamazaki, Yukiyoshi Hoshigami","doi":"10.1007/s10015-023-00920-9","DOIUrl":"10.1007/s10015-023-00920-9","url":null,"abstract":"<div><p>The purpose of this research is to develop robots that perform mud sampling on tidal flats automatically. Erosions that occur on beaches and sands go away to offshore caused by waves, winds and so on. In addition, the phenomena have not been clarified. Thus, a mathematical model has been proposed to analyze the phenomena. Then, parameters in the model are required to be identified by collecting bottom sediments. Now, the collections of bottom sediments are achieved with manpower. However, surfaces of tidal flats are of mud and hard to walk on. In this paper, a robot for collecting bottom sediments on tidal flats is proposed. During traveling on muddy terrains, the robot has to avoid obstacles, i.e., wastes, driftwoods and so on. Then, the SSD (single shot multibox detector) was used to detect objects with image recognition. Fundamental experiments were performed in our laboratory and it was shown that the developed robot could perform the fundamental desired tasks.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TransUNet with unified focal loss for class-imbalanced semantic segmentation","authors":"Kento Wakamatsu, Satoshi Ono","doi":"10.1007/s10015-023-00919-2","DOIUrl":"10.1007/s10015-023-00919-2","url":null,"abstract":"<div><p>Class imbalanceness, i.e., the inequality of the number of samples between categories, adversely affects machine learning models, including deep neural networks. In semantic segmentation, extracting a small area of minor categories with respect to the entire image includes the same problem as class imbalanceness. Such difficulties exist in various applications of semantic segmentation, including medical images. This paper proposes a semantic segmentation method that considers global features and appropriately detects small categories. The proposed method adopts TransUNet architecture and Unified Focal Loss (UFL) function; the former allows considering global image features, and the latter mitigates the harmful effects of class imbalanceness. Experimental results with real-world applications showed that the proposed method successfully extracts small regions of minor classes without increasing false positives of other classes.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139172406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Performance evaluation of schedule plan for cuckoo search applied to the neural network controller of a rotary crane","authors":"Rui Kinjo, Kunihiko Nakazono, Naoki Oshiro, Hiroshi Kinjo","doi":"10.1007/s10015-023-00918-3","DOIUrl":"10.1007/s10015-023-00918-3","url":null,"abstract":"<div><p>Here, an optimized neural network controller (NC) was developed with the cuckoo search (CS) method. This was inspired by the mending behavior of the cuckoo bird, which lays eggs similar to those of their putative parents in their nests and allows the putative parents to raise them. CS is an evolutionary computation algorithm that mimics the ecological behavior of organisms to optimize a controller. Previous studies have demonstrated good evolutionary processes for NCs when the value of the scaling index varies in steps during a scheduled period. Therefore, the proposed CS scheduling plan adjusts the scaling index as a linear function, nonlinear function, or stairs. Computer simulations demonstrated that an NC optimized with the scheduled CS method had superior control performance compared to the original CS method. The best results were obtained when the schedule plan was set to a linear or nonlinear function rather than a stair plan.</p></div>","PeriodicalId":46050,"journal":{"name":"Artificial Life and Robotics","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}